Last updated on 2025-12-28 03:52:17 CET.
| Package | ERROR | OK |
|---|---|---|
| mcboost | 13 | |
| mlr3benchmark | 1 | 12 |
| mlr3fda | 13 | |
| mlr3inferr | 1 | 12 |
| mlr3oml | 13 | |
| mlr3torch | 13 |
Current CRAN status: OK: 13
Current CRAN status: ERROR: 1, OK: 12
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in 'mlr3benchmark-Ex.R' failed
The error most likely occurred in:
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
INFO [17:10:11.096] [mlr3] Running benchmark with 8 resampling iterations
INFO [17:10:11.247] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/2)
INFO [17:10:11.295] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 2/2)
INFO [17:10:11.333] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/2)
INFO [17:10:11.377] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 2/2)
INFO [17:10:11.415] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/2)
INFO [17:10:11.449] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 2/2)
INFO [17:10:11.481] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/2)
INFO [17:10:11.542] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 2/2)
INFO [17:10:11.626] [mlr3] Finished benchmark
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: benchmark ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [6s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
INFO [17:10:15.385] [mlr3] Running benchmark with 4 resampling iterations
INFO [17:10:15.558] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/1)
INFO [17:10:15.615] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/1)
INFO [17:10:15.651] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/1)
INFO [17:10:15.678] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/1)
INFO [17:10:15.764] [mlr3] Finished benchmark
Saving _problems/test_BenchmarkAggr-101.R
INFO [17:10:17.194] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:10:17.241] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:10:17.272] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:10:17.301] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:10:17.332] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:10:17.372] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:10:17.406] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:10:17.442] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:10:17.477] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:10:17.518] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:10:17.555] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:10:17.589] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:10:17.620] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:10:17.650] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:10:17.700] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:10:17.771] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:10:17.826] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:10:17.878] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:10:17.933] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:10:17.993] [mlr3] Finished benchmark
Saving _problems/test_autoplot_BenchmarkAggr-48.R
[ FAIL 2 | WARN 1 | SKIP 0 | PASS 47 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:101:3'): mlr3 coercions ────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(benchmark_grid(task, learns, rsmp("holdout"))) at test_BenchmarkAggr.R:101:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_autoplot_BenchmarkAggr.R:48:3'): autoplot with BenchmarkAggr from mlr3::benchmark() ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3))) at test_autoplot_BenchmarkAggr.R:48:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
[ FAIL 2 | WARN 1 | SKIP 0 | PASS 47 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: ERROR: 1, OK: 12
Version: 0.2.1
Check: examples
Result: ERROR
Running examples in 'mlr3inferr-Ex.R' failed
The error most likely occurred in:
> ### Name: mlr_measures_ci
> ### Title: Default CI Method
> ### Aliases: mlr_measures_ci MeasureCi
>
> ### ** Examples
>
> rr = resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout"))
INFO [17:10:36.900] [mlr3] Resampling 'holdout' is being instantiated on task 'sonar'
INFO [17:10:37.064] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: resample ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.2.1
Check: tests
Result: ERROR
Running 'testthat.R' [36s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(mlr3inferr)
Loading required package: mlr3
>
> test_check("mlr3inferr")
Saving _problems/test_MeasureAbstractCi-2.R
Saving _problems/test_MeasureAbstractCi-8.R
Saving _problems/test_MeasureAbstractCi-14.R
Saving _problems/test_MeasureAbstractCi-22.R
Saving _problems/test_MeasureAbstractCi-37.R
Saving _problems/test_MeasureAbstractCi-53.R
Saving _problems/test_MeasureAbstractCi-60.R
Saving _problems/test_MeasureAbstractCi-77.R
Saving _problems/test_MeasureAbstractCi-83.R
Saving _problems/test_MeasureCi-2.R
Saving _problems/test_MeasureCiConZ-3.R
Saving _problems/test_MeasureCiConZ-8.R
Saving _problems/test_MeasureCiCorT-2.R
Saving _problems/test_MeasureCiCorT-7.R
Saving _problems/test_MeasureCiHoldout-2.R
Saving _problems/test_MeasureCiHoldout-7.R
Saving _problems/test_MeasureCiNestedCV-7.R
Saving _problems/test_MeasureCiNestedCV-13.R
Saving _problems/test_MeasureCiWaldCV-2.R
Saving _problems/test_MeasureCiWaldCV-10.R
Saving _problems/test_ResamplingNestedCV-31.R
Saving _problems/test_ResamplingPairedSubsampling-27.R
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_MeasureAbstractCi.R:2:3'): score throws error ──────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), lrn("classif.featureless"), rsmp("holdout")) at test_MeasureAbstractCi.R:2:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:8:3'): resampling method is verified ───────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), lrn("classif.featureless"), rsmp("insample")) at test_MeasureAbstractCi.R:8:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:14:3'): construction measure checks ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), lrn("classif.featureless"), rsmp("insample")) at test_MeasureAbstractCi.R:14:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:22:3'): aggregation works ──────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(...) at test_MeasureAbstractCi.R:22:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:37:3'): ci can be used with other measure ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling) at test_MeasureAbstractCi.R:37:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:53:3'): wrapped measure must evaluate test ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_MeasureAbstractCi.R:53:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:60:3'): also works when CI measure and passed measure have different IDs ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout")) at test_MeasureAbstractCi.R:60:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:77:3'): grouping is not allowed ────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn("regr.featureless"), rsmp("holdout")) at test_MeasureAbstractCi.R:77:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureAbstractCi.R:83:3'): within_range works ─────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("mtcars"), lrn("regr.featureless"), rsmp("holdout")) at test_MeasureAbstractCi.R:83:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCi.R:2:3'): basic ───────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), lrn("classif.featureless"), rsmp("holdout")) at test_MeasureCi.R:2:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiConZ.R:3:3'): basic ───────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3inferr:::expect_ci_measure(...) at test_MeasureCiConZ.R:3:3
2. └─mlr3::resample(task, lrn("regr.featureless"), resampling) at ./helpers.R:29:3
3. └─ResultData$new(data, data_extra, store_backends = store_backends)
4. └─mlr3 (local) initialize(...)
5. └─mlr3:::.__ResultData__initialize(...)
6. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
7. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiConZ.R:8:3'): aggr and CI point estimate agree ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_MeasureCiConZ.R:8:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiCorT.R:2:3'): simple ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3inferr:::expect_ci_measure(...) at test_MeasureCiCorT.R:2:3
2. └─mlr3::resample(task, lrn("regr.featureless"), resampling) at ./helpers.R:29:3
3. └─ResultData$new(data, data_extra, store_backends = store_backends)
4. └─mlr3 (local) initialize(...)
5. └─mlr3:::.__ResultData__initialize(...)
6. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
7. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiCorT.R:7:3'): aggr and CI point estimate agree ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_MeasureCiCorT.R:7:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiHoldout.R:2:3'): simple ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3inferr:::expect_ci_measure("ci.holdout", rsmp("holdout")) at test_MeasureCiHoldout.R:2:3
2. └─mlr3::resample(task, lrn("regr.featureless"), resampling) at ./helpers.R:29:3
3. └─ResultData$new(data, data_extra, store_backends = store_backends)
4. └─mlr3 (local) initialize(...)
5. └─mlr3:::.__ResultData__initialize(...)
6. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
7. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiHoldout.R:7:3'): aggr and CI point estimate agree ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn("classif.featureless"), rsmp("holdout")) at test_MeasureCiHoldout.R:7:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiNestedCV.R:3:3'): basic ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3inferr:::expect_ci_measure(...) at test_MeasureCiNestedCV.R:3:3
2. └─mlr3::resample(task, lrn("regr.featureless"), resampling) at ./helpers.R:29:3
3. └─ResultData$new(data, data_extra, store_backends = store_backends)
4. └─mlr3 (local) initialize(...)
5. └─mlr3:::.__ResultData__initialize(...)
6. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
7. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiNestedCV.R:13:3'): aggr and CI point estimate agree ───
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_MeasureCiNestedCV.R:13:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiWaldCV.R:2:3'): basic ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3inferr:::expect_ci_measure("ci.wald_cv", rsmp("cv"), variance = "all-pairs") at test_MeasureCiWaldCV.R:2:3
2. └─mlr3::resample(task, lrn("regr.featureless"), resampling) at ./helpers.R:29:3
3. └─ResultData$new(data, data_extra, store_backends = store_backends)
4. └─mlr3 (local) initialize(...)
5. └─mlr3:::.__ResultData__initialize(...)
6. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
7. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureCiWaldCV.R:10:3'): aggr and CI point estimate agree ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn("classif.featureless"), rsmp("cv", folds = 3)) at test_MeasureCiWaldCV.R:10:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_ResamplingNestedCV.R:31:3'): ResamplingNestedCV works ──────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn("classif.debug"), res) at test_ResamplingNestedCV.R:31:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_ResamplingPairedSubsampling.R:23:3'): basic ────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn("classif.featureless"), r) at test_ResamplingPairedSubsampling.R:23:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
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