* using log directory 'd:/Rcompile/CRANpkg/local/4.6/mlr3.Rcheck' * using R version 4.6.1 (2026-06-24 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 14.3.0 GNU Fortran (GCC) 14.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * current time: 2026-07-30 15:36:53 UTC * checking for file 'mlr3/DESCRIPTION' ... OK * this is package 'mlr3' version '1.7.1' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'mlr3' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... [1s] OK * checking whether the package can be loaded with stated dependencies ... [1s] OK * checking whether the package can be unloaded cleanly ... [1s] OK * checking whether the namespace can be loaded with stated dependencies ... [1s] OK * checking whether the namespace can be unloaded cleanly ... [1s] OK * checking loading without being on the library search path ... [1s] OK * checking whether startup messages can be suppressed ... [1s] OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [42s] OK * checking Rd files ... [9s] OK * checking Rd metadata ... OK * checking Rd cross-references ... WARNING Missing link(s) in Rd file 'mlr_tasks_pima.Rd': '[mlbench:PimaIndiansDiabetes2]{mlbench::PimaIndiansDiabetes2}' See section 'Cross-references' in the 'Writing R Extensions' manual. * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking examples ... [5s] ERROR Running examples in 'mlr3-Ex.R' failed The error most likely occurred in: > ### Name: HotstartStack > ### Title: Stack for Hot Start Learners > ### Aliases: HotstartStack > > ### ** Examples > > # train learner on pima task > task = tsk("pima") Warning in data(list = id, package = package, envir = ee) : data set 'PimaIndiansDiabetes2' not found Error in UseMethod("as_data_backend") : no applicable method for 'as_data_backend' applied to an object of class "NULL" Calls: tsk ... dictionary_initialize_item -> do.call -> -> as_data_backend Execution halted * checking for unstated dependencies in 'tests' ... OK * checking tests ... [378s] ERROR Running 'testthat.R' [378s] Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + test_check("mlr3") + } Saving _problems/test_CallbackResample-4.R Saving _problems/test_CallbackResample-25.R Saving _problems/test_CallbackResample-45.R Saving _problems/test_CallbackResample-64.R Saving _problems/test_CallbackResample-86.R Saving _problems/test_CallbackResample-117.R Saving _problems/test_CallbackResample-151.R Saving _problems/test_CallbackResample-170.R Saving _problems/test_CallbackResample-199.R Saving _problems/test_CallbackResample-228.R Saving _problems/test_ContextEvaluation-2.R Saving _problems/test_HotstartStack-2.R Saving _problems/test_HotstartStack-18.R Saving _problems/test_HotstartStack-31.R Saving _problems/test_HotstartStack-45.R Saving _problems/test_HotstartStack-61.R Saving _problems/test_HotstartStack-75.R Saving _problems/test_HotstartStack-91.R Saving _problems/test_HotstartStack-109.R Saving 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_problems/test_LearnerClassif-34.R Saving _problems/test_LearnerClassif-58.R Saving _problems/test_LearnerClassif-83.R Saving _problems/test_LearnerClassif-107.R Saving _problems/test_Measure-345.R Saving _problems/test_Measure-376.R Saving _problems/test_PredictionClassif-321.R Saving _problems/test_Task-426.R Saving _problems/test_Task-528.R Saving _problems/test_Task-539.R Saving _problems/test_Task-991.R Saving _problems/test_Task-1013.R Saving _problems/test_TaskClassif-122.R Saving _problems/test_benchmark-81.R Saving _problems/test_benchmark-164.R Saving _problems/test_benchmark-441.R Saving _problems/test_benchmark-667.R Saving _problems/test_benchmark-692.R Saving _problems/test_benchmark-845.R Saving _problems/test_encapsulate-143.R Saving _problems/test_hotstart-2.R Saving _problems/test_hotstart-18.R Saving _problems/test_hotstart-32.R Saving _problems/test_hotstart-49.R Saving _problems/test_hotstart-64.R Saving _problems/test_hotstart-78.R Saving _problems/test_hotstart-92.R Saving _problems/test_hotstart-106.R Saving _problems/test_hotstart-120.R Saving _problems/test_hotstart-129.R Saving _problems/test_hotstart-151.R Saving _problems/test_hotstart-180.R Saving _problems/test_hotstart-216.R Saving _problems/test_hotstart-239.R Saving _problems/test_mlr_callbacks-2.R Saving _problems/test_mlr_callbacks-19.R Saving _problems/test_mlr_learners_classif_debug-50.R Saving _problems/test_mlr_learners_classif_rpart-76.R Saving _problems/test_mlr_learners_regr_rpart-68.R Saving _problems/test_mlr_reflections-54.R Saving _problems/test_mlr_tasks-2.R Saving _problems/test_mlr_tasks-18.R Saving _problems/test_mlr_tasks-32.R Saving _problems/test_parallel_mirai-6.R Saving _problems/test_parallel_mirai-17.R Saving _problems/test_parallel_mirai-34.R Saving _problems/test_parallel_mirai-128.R Saving _problems/test_partition-2.R Saving _problems/test_partition-15.R Saving _problems/test_resample-532.R Saving _problems/test_resultdata-25.R Saving _problems/test_score_roc_measures-3.R [ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ] ══ Skipped tests (17) ══════════════════════════════════════════════════════════ • Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1' • On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3', 'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3', 'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3', 'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3', 'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3' • On Windows (1): 'test_parallel_future.R:72:3' • empty test (1): 'test_Task.R:968:1' • {distr6} is not installed (1): 'test_PredictionRegr.R:54:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_CallbackResample.R:4:3'): on_resample_begin works ────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:4:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:25:3'): on_resample_before_train works ────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:25:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:45:3'): on_resample_before_predict works ──── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:45:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:64:3'): on_resample_end works ─────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:64:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:86:3'): writing to learner$state works ────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:86:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:117:3'): writing to data_extra works ──────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:117:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:151:3'): data_extra is a list column ──────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:151:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:170:3'): data_extra is null ───────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:170:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:199:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_CallbackResample.R:228:3'): returning data_extra sometimes works ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_CallbackResample.R:228:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_ContextEvaluation.R:2:3'): ContextResample works ─────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_ContextEvaluation.R:2:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:2:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:18:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:31:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:45:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner are equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:61:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:75:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:91:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:109:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:123:3'): HotstartStack works when stack is empty ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:123:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:132:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:147:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:162:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner are equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:179:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:195:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:210:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:229:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:246:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:261:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner are equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:278:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:293:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:308:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:323:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:342:3'): HotstartStack add method works ──────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:342:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:357:3'): copying state of learner works ──────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:357:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:373:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:387:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_HotstartStack.R:398:3'): HotstartStack threshold works ───────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_HotstartStack.R:398:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Learner.R:44:3'): task is checked in train() / predict() ─────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─testthat::expect_error(learner$train(tsk("pima")), "type") at test_Learner.R:44:3 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. ├─learner$train(tsk("pima")) 8. │ └─mlr3:::.__Learner__train(...) 9. │ ├─mlr3::assert_task(as_task(task)) 10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name) 11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok) 12. │ └─mlr3::as_task(task) 13. └─mlr3::tsk("pima") 14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 17. ├─base::do.call(constructor, cargs) 18. └─mlr3 (local) ``() 19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Learner.R:334:3'): Error on missing data (#413) ──────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Learner.R:334:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response works ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:3:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:14:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob works ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:21:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:34:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:58:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:83:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:107:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Measure.R:345:3'): measure and prediction type is checked ────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Measure.R:345:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Measure.R:376:3'): obs_loss works ────────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Measure.R:376:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_PredictionClassif.R:321:3'): obs_loss works ──────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_PredictionClassif.R:321:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Task.R:426:3'): task$missings() works ────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Task.R:426:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Task.R:528:3'): Task$set_row_roles ───────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Task.R:528:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Task.R:539:3'): Task$set_col_roles ───────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Task.R:539:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Task.R:991:3'): row_hash works correctly ─────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Task.R:991:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_Task.R:1013:3'): row_ids_backend works correctly ─────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_Task.R:1013:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_TaskClassif.R:122:3'): offset column role works with binary tasks ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_TaskClassif.R:122:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:81:3'): bmr$combine() ────────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3 2. │ └─checkmate::assert_data_frame(design, min.rows = 1L) 3. │ └─checkmate::checkDataFrame(...) 4. │ └─... %and% checkListTypes(x, types) 5. │ └─base::isTRUE(lhs) 6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings) 7. │ ├─mlr3::assert_tasks(as_tasks(tasks)) 8. │ │ └─checkmate::assert_list(tasks, types = "Task") 9. │ │ └─checkmate::checkList(...) 10. │ │ └─... %and% checkListTypes(x, types) 11. │ │ └─base::isTRUE(lhs) 12. │ └─mlr3::as_tasks(tasks) 13. └─mlr_tasks$mget("pima") 14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys) 15. └─base::lapply(keys, self$get, ...) 16. └─mlr3misc (local) FUN(X[[i]], ...) 17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 18. │ └─base::eval.parent(expr, n = 1L) 19. │ └─base::eval(expr, p) 20. │ └─base::eval(expr, p) 21. └─mlr3misc:::dictionary_get(self = self, key = key) 22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 23. ├─base::do.call(constructor, cargs) 24. └─mlr3 (local) ``() 25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:164:3'): resampling validation in benchmark_grid ─── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_benchmark.R:164:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ───── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3 2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...) 3. └─base::lapply(...) 4. └─mlr3misc (local) FUN(X[[i]], ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) ``() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_benchmark.R:667:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─mlr3::benchmark_grid(...) at test_benchmark.R:692:3 2. │ ├─mlr3::assert_tasks(as_tasks(tasks)) 3. │ │ └─checkmate::assert_list(tasks, types = "Task") 4. │ │ └─checkmate::checkList(...) 5. │ │ └─... %and% checkListTypes(x, types) 6. │ │ └─base::isTRUE(lhs) 7. │ └─mlr3::as_tasks(tasks) 8. └─mlr3::tsk("pima") 9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 12. ├─base::do.call(constructor, cargs) 13. └─mlr3 (local) ``() 14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_benchmark.R:845:3'): resampling validation ───────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_benchmark.R:845:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_encapsulate.R:143:7'): mirai compute profile can be changed ──── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─global with_mirai(...) at test_encapsulate.R:140:3 2. │ └─base::force(expr) 3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7 4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) ``() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:2:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:18:3'): learner is directly returned when hotstart and target learner are equal ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:18:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:32:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:49:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:64:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:78:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:92:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:106:3'): learner is trained when the task is different ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:106:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:120:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:129:3'): learners are hotstarted when resample is used ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:129:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:151:3'): learners are hotstarted when benchmark is called ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:151:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:180:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:216:3'): learners are cloned when hotstarting is applied ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:216:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_hotstart.R:239:3'): hotstarting works when col role is set in task ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_hotstart.R:239:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_lgr.R:42:3'): logger works ───────────────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─testthat::capture_output(...) at test_lgr.R:42:3 2. │ └─testthat::capture_output_lines(code, print, width = width) 3. │ └─testthat:::eval_with_output(code, print = print, width = width) 4. │ ├─withr::with_output_sink(path, withVisible(code)) 5. │ │ └─base::force(code) 6. │ └─base::withVisible(code) 7. ├─mlr3::resample(...) 8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone)) 9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name) 10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok) 11. │ └─mlr3::as_task(task, clone = "task" %chin% clone) 12. └─mlr3::tsk("pima") 13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 16. ├─base::do.call(constructor, cargs) 17. └─mlr3 (local) ``() 18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_lgr.R:73:5'): thresholds are restored on workers ─────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─testthat::capture_output(...) at test_lgr.R:72:3 2. │ └─testthat::capture_output_lines(code, print, width = width) 3. │ └─testthat:::eval_with_output(code, print = print, width = width) 4. │ ├─withr::with_output_sink(path, withVisible(code)) 5. │ │ └─base::force(code) 6. │ └─base::withVisible(code) 7. ├─global with_future(...) 8. │ └─base::force(expr) 9. ├─mlr3::resample(...) at test_lgr.R:73:5 10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone)) 11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name) 12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok) 13. │ └─mlr3::as_task(task, clone = "task" %chin% clone) 14. └─mlr3::tsk("pima") 15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 18. ├─base::do.call(constructor, cargs) 19. └─mlr3 (local) ``() 20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_callbacks.R:2:3'): model extractor works ─────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_mlr_callbacks.R:2:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_callbacks.R:19:3'): holdout task works ───────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_mlr_callbacks.R:19:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_learners_classif_debug.R:50:3'): default_values ──────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_learners_classif_rpart.R:76:3'): default_values on rpart ─── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_learners_regr_rpart.R:68:3'): default_values on rpart ────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_reflections.R:54:1'): (code run outside of `test_that()`) ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1 ── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ─────────────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3 2. ├─checkmate::expect_data_table(...) 3. │ └─checkmate::checkDataTable(...) 4. ├─data.table::as.data.table(d) 5. └─mlr3:::as.data.table.DictionaryTask(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. └─mlr3 (local) FUN(X[[i]], ...) 14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 18. └─x$get(key) 19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 20. │ └─base::eval.parent(expr, n = 1L) 21. │ └─base::eval(expr, p) 22. │ └─base::eval(expr, p) 23. └─mlr3misc:::dictionary_get(self = self, key = key) 24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 25. ├─base::do.call(constructor, cargs) 26. └─mlr3 (local) ``() 27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_tasks.R:18:5'): load_x ───────────────────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5 2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE) 3. │ └─checkmate::checkR6(...) 4. └─mlr3 (local) fun() 5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ───────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3 2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE) 3. ├─data.table::setkeyv(...) 4. │ └─data.table::is.data.table(x) 5. └─mlr3misc::map_dtr(...) 6. ├─data.table::rbindlist(...) 7. ├─base::unname(map(.x, .f, ...)) 8. └─mlr3misc::map(.x, .f, ...) 9. └─base::lapply(.x, .f, ...) 10. └─mlr3 (local) FUN(X[[i]], ...) 11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 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, cargs) 23. └─mlr3 (local) ``() 24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_parallel_mirai.R:6:7'): parallel resample ────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3 2. │ └─base::force(expr) 3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7 4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) ``() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ──────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_parallel_mirai.R:17:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_parallel_mirai.R:34:7'): mirai resample is reproducible ──────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3 2. │ └─base::force(expr) 3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7 4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) ``() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3 2. │ └─base::force(expr) 3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7 4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) ``() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_partition.R:2:3'): partition two way split ───────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_partition.R:2:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_partition.R:15:3'): partition three way split ────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_partition.R:15:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) ``() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_resample.R:532:3'): resampling instantiated on a different task throws an error ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─testthat::expect_error(...) at test_resample.R:532:3 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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling) 8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone)) 9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name) 10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok) 11. │ └─mlr3::as_task(task, clone = "task" %chin% clone) 12. └─mlr3::tsk("pima") 13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 16. ├─base::do.call(constructor, cargs) 17. └─mlr3 (local) ``() 18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_resultdata.R:25:3'): results are ordered ─────────────────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3 2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone)) 3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name) 4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok) 5. │ └─mlr3::as_task(task, clone = "task" %chin% clone) 6. └─mlr3::tsk("pima") 7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 10. ├─base::do.call(constructor, cargs) 11. └─mlr3 (local) ``() 12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ──────────── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3 2. └─mlr3::tsk("pima") 3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 6. ├─base::do.call(constructor, cargs) 7. └─mlr3 (local) ``() 8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) [ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ] Error: ! Test failures. Execution halted * checking PDF version of manual ... [45s] OK * checking HTML version of manual ... [91s] OK * DONE Status: 2 ERRORs, 1 WARNING