Last updated on 2025-12-20 13:50:23 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.9.0 | 11.90 | 139.62 | 151.52 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.9.0 | 7.25 | 101.19 | 108.44 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.9.0 | 19.00 | 220.36 | 239.36 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.9.0 | 17.00 | 198.39 | 215.39 | ERROR | |
| r-devel-windows-x86_64 | 0.9.0 | 13.00 | 171.00 | 184.00 | OK | |
| r-patched-linux-x86_64 | 0.9.0 | 12.63 | 154.87 | 167.50 | OK | |
| r-release-linux-x86_64 | 0.9.0 | 9.92 | 156.52 | 166.44 | OK | |
| r-release-macos-arm64 | 0.9.0 | OK | ||||
| r-release-macos-x86_64 | 0.9.0 | 7.00 | 137.00 | 144.00 | OK | |
| r-release-windows-x86_64 | 0.9.0 | 12.00 | 162.00 | 174.00 | OK | |
| r-oldrel-macos-arm64 | 0.9.0 | OK | ||||
| r-oldrel-macos-x86_64 | 0.9.0 | 7.00 | 138.00 | 145.00 | OK | |
| r-oldrel-windows-x86_64 | 0.9.0 | 16.00 | 211.00 | 227.00 | OK |
Version: 0.9.0
Check: examples
Result: ERROR
Running examples in ‘mlr3filters-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_filters_performance
> ### Title: Predictive Performance Filter
> ### Aliases: mlr_filters_performance FilterPerformance
>
> ### ** Examples
>
> if (requireNamespace("rpart")) {
+ task = mlr3::tsk("iris")
+ learner = mlr3::lrn("classif.rpart")
+ filter = flt("performance", learner = learner)
+ filter$calculate(task)
+ as.data.table(filter)
+ }
INFO [04:33:52.610] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: <Anonymous> ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.9.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [52s/70s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3filters")
+ test_check("mlr3filters")
+ }
Saving _problems/test_FilterPerformance-8.R
Saving _problems/test_FilterPermutation-7.R
Saving _problems/test_filter_classif-9.R
Saving _problems/test_filter_classif-34.R
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• {mlr3proba} is not installed (2): 'test_FilterUnivariateCox.R:1:1',
'test_filter_surv.R:1:1'
• {mlr3spatiotempcv} is not installed (1): 'test_mlr3spatiotempcv.R:1:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_FilterPerformance.R:8:3'): FilterPerformance ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPerformance.R:8:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_FilterPermutation.R:7:3'): FilterPermutation ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPermutation.R:7:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPermutation__.calculate(...)
5. └─mlr3::resample(task, self$learner, self$resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:9:7'): all classif filters return correct filter values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:9:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:34:7'): filters throw errors on missing values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:34:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.9.0
Check: examples
Result: ERROR
Running examples in ‘mlr3filters-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_filters_performance
> ### Title: Predictive Performance Filter
> ### Aliases: mlr_filters_performance FilterPerformance
>
> ### ** Examples
>
> if (requireNamespace("rpart")) {
+ task = mlr3::tsk("iris")
+ learner = mlr3::lrn("classif.rpart")
+ filter = flt("performance", learner = learner)
+ filter$calculate(task)
+ as.data.table(filter)
+ }
INFO [17:13:14.826] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: <Anonymous> ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.9.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [38s/58s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3filters")
+ test_check("mlr3filters")
+ }
Saving _problems/test_FilterPerformance-8.R
Saving _problems/test_FilterPermutation-7.R
Saving _problems/test_filter_classif-9.R
Saving _problems/test_filter_classif-34.R
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• {mlr3proba} is not installed (2): 'test_FilterUnivariateCox.R:1:1',
'test_filter_surv.R:1:1'
• {mlr3spatiotempcv} is not installed (1): 'test_mlr3spatiotempcv.R:1:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_FilterPerformance.R:8:3'): FilterPerformance ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPerformance.R:8:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_FilterPermutation.R:7:3'): FilterPermutation ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPermutation.R:7:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPermutation__.calculate(...)
5. └─mlr3::resample(task, self$learner, self$resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:9:7'): all classif filters return correct filter values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:9:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:34:7'): filters throw errors on missing values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:34:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.9.0
Check: examples
Result: ERROR
Running examples in ‘mlr3filters-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_filters_performance
> ### Title: Predictive Performance Filter
> ### Aliases: mlr_filters_performance FilterPerformance
>
> ### ** Examples
>
> if (requireNamespace("rpart")) {
+ task = mlr3::tsk("iris")
+ learner = mlr3::lrn("classif.rpart")
+ filter = flt("performance", learner = learner)
+ filter$calculate(task)
+ as.data.table(filter)
+ }
INFO [17:45:39.544] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: <Anonymous> ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.9.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [90s/178s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3filters")
+ test_check("mlr3filters")
+ }
Saving _problems/test_FilterPerformance-8.R
Saving _problems/test_FilterPermutation-7.R
Saving _problems/test_filter_classif-9.R
Saving _problems/test_filter_classif-34.R
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• {mlr3proba} is not installed (2): 'test_FilterUnivariateCox.R:1:1',
'test_filter_surv.R:1:1'
• {mlr3spatiotempcv} is not installed (1): 'test_mlr3spatiotempcv.R:1:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_FilterPerformance.R:8:3'): FilterPerformance ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPerformance.R:8:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_FilterPermutation.R:7:3'): FilterPermutation ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPermutation.R:7:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPermutation__.calculate(...)
5. └─mlr3::resample(task, self$learner, self$resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:9:7'): all classif filters return correct filter values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:9:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:34:7'): filters throw errors on missing values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:34:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.9.0
Check: examples
Result: ERROR
Running examples in ‘mlr3filters-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_filters_performance
> ### Title: Predictive Performance Filter
> ### Aliases: mlr_filters_performance FilterPerformance
>
> ### ** Examples
>
> if (requireNamespace("rpart")) {
+ task = mlr3::tsk("iris")
+ learner = mlr3::lrn("classif.rpart")
+ filter = flt("performance", learner = learner)
+ filter$calculate(task)
+ as.data.table(filter)
+ }
INFO [12:28:56.656] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: <Anonymous> ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.9.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [80s/128s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3filters")
+ test_check("mlr3filters")
+ }
Saving _problems/test_FilterPerformance-8.R
Saving _problems/test_FilterPermutation-7.R
Saving _problems/test_filter_classif-9.R
Saving _problems/test_filter_classif-34.R
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• On CRAN (1): 'test_mlr3spatiotempcv.R:2:1'
• {mlr3proba} is not installed (2): 'test_FilterUnivariateCox.R:1:1',
'test_filter_surv.R:1:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_FilterPerformance.R:8:3'): FilterPerformance ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPerformance.R:8:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_FilterPermutation.R:7:3'): FilterPermutation ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_FilterPermutation.R:7:3
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPermutation__.calculate(...)
5. └─mlr3::resample(task, self$learner, self$resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:9:7'): all classif filters return correct filter values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:9:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_filter_classif.R:34:7'): filters throw errors on missing values ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─f$calculate(task) at test_filter_classif.R:34:7
2. └─mlr3filters:::.__Filter__calculate(...)
3. └─private$.calculate(task, nfeat)
4. └─mlr3filters:::.__FilterPerformance__.calculate(...)
5. └─mlr3misc::map_dbl(...)
6. └─mlr3misc:::map_mold(.x, .f, NA_real_, ...)
7. └─base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
8. └─mlr3filters (local) FUN(X[[i]], ...)
9. └─mlr3::resample(task, self$learner, resampling, clone = character())
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
[ FAIL 4 | WARN 0 | SKIP 3 | PASS 470 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc