* 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: 2026-08-12 13:03:45 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 ... [4s] 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 ... [366s] ERROR Running 'testthat.R' [365s] 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 ... [49s] OK * checking HTML version of manual ... [89s] OK * DONE Status: 2 ERRORs, 1 WARNING Check process probably crashed or hung up for 20 minutes ... killed Most likely this happened in the example checks (?), if not, ignore the following last lines of example output: male 2007 1 female 2007 2 female 2007 3 2007 4 female 2007 5 male 2007 6 [...] (338 rows omitted) > > > > cleanEx() > nameEx("HotstartStack") > ### * HotstartStack > > flush(stderr()); flush(stdout()) > > ### 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 ======== End of example output (where/before crash/hang up occured ?) ========