Last updated on 2025-12-21 11:50:45 CET.
| Package | ERROR | OK |
|---|---|---|
| mcboost | 13 | |
| mlr3benchmark | 5 | 8 |
| mlr3fda | 13 | |
| mlr3inferr | 4 | 9 |
| mlr3oml | 13 | |
| mlr3torch | 13 |
Current CRAN status: OK: 13
Current CRAN status: ERROR: 5, OK: 8
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### 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 [04:33:17.870] [mlr3] Running benchmark with 8 resampling iterations
INFO [04:33:18.053] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/2)
INFO [04:33:18.117] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 2/2)
INFO [04:33:18.146] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/2)
INFO [04:33:18.213] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 2/2)
INFO [04:33:18.248] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/2)
INFO [04:33:18.278] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 2/2)
INFO [04:33:18.309] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/2)
INFO [04:33:18.414] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 2/2)
INFO [04:33:18.539] [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-linux-x86_64-debian-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [9s/11s]
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 [04:33:25.915] [mlr3] Running benchmark with 4 resampling iterations
INFO [04:33:26.217] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/1)
INFO [04:33:26.304] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/1)
INFO [04:33:26.402] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/1)
INFO [04:33:26.443] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/1)
INFO [04:33:26.650] [mlr3] Finished benchmark
Saving _problems/test_BenchmarkAggr-101.R
INFO [04:33:28.993] [mlr3] Running benchmark with 18 resampling iterations
INFO [04:33:29.133] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [04:33:29.226] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [04:33:29.279] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [04:33:29.307] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [04:33:29.349] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [04:33:29.386] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [04:33:29.421] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [04:33:29.455] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [04:33:29.490] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [04:33:29.535] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [04:33:29.566] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [04:33:29.603] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [04:33:29.632] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [04:33:29.691] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [04:33:29.743] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [04:33:29.793] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [04:33:29.854] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [04:33:29.907] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [04:33:29.982] [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-linux-x86_64-debian-clang
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### 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 [17:17:27.757] [mlr3] Running benchmark with 8 resampling iterations
INFO [17:17:27.877] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/2)
INFO [17:17:27.927] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 2/2)
INFO [17:17:27.950] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/2)
INFO [17:17:27.988] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 2/2)
INFO [17:17:28.025] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/2)
INFO [17:17:28.105] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 2/2)
INFO [17:17:28.147] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/2)
INFO [17:17:28.260] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 2/2)
INFO [17:17:28.358] [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-linux-x86_64-debian-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [5s/5s]
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 [17:17:32.099] [mlr3] Running benchmark with 4 resampling iterations
INFO [17:17:32.220] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/1)
INFO [17:17:32.258] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/1)
INFO [17:17:32.289] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/1)
INFO [17:17:32.342] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/1)
INFO [17:17:32.427] [mlr3] Finished benchmark
Saving _problems/test_BenchmarkAggr-101.R
INFO [17:17:33.388] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:17:33.479] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:17:33.499] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:17:33.536] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:17:33.567] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:17:33.592] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:17:33.626] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:17:33.652] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:17:33.678] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:17:33.703] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:17:33.736] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:17:33.761] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:17:33.784] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:17:33.808] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:17:33.852] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:17:33.890] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:17:33.928] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:17:33.974] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:17:34.012] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:17:34.053] [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-linux-x86_64-debian-gcc
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 [17:44:25.371] [mlr3] Running benchmark with 8 resampling iterations
INFO [17:44:26.040] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/2)
INFO [17:44:26.228] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 2/2)
INFO [17:44:26.356] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/2)
INFO [17:44:26.618] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 2/2)
INFO [17:44:26.766] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/2)
INFO [17:44:26.846] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 2/2)
INFO [17:44:26.964] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/2)
INFO [17:44:27.253] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 2/2)
INFO [17:44:27.454] [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-linux-x86_64-fedora-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [13s/22s]
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 [17:44:40.388] [mlr3] Running benchmark with 4 resampling iterations
INFO [17:44:41.177] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/1)
INFO [17:44:41.430] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/1)
INFO [17:44:41.553] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/1)
INFO [17:44:41.696] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/1)
INFO [17:44:42.056] [mlr3] Finished benchmark
Saving _problems/test_BenchmarkAggr-101.R
INFO [17:44:46.341] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:44:46.843] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:44:46.962] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:44:47.104] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:44:47.223] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:44:47.345] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:44:47.413] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:44:47.468] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:44:47.536] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:44:47.655] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:44:47.796] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:44:47.861] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:44:47.936] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:44:48.041] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:44:48.264] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:44:48.447] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:44:48.632] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:44:48.866] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:44:49.048] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:44:49.252] [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-linux-x86_64-fedora-clang
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 [12:26:41.519] [mlr3] Running benchmark with 8 resampling iterations
INFO [12:26:42.233] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/2)
INFO [12:26:42.500] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 2/2)
INFO [12:26:42.589] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/2)
INFO [12:26:42.737] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 2/2)
INFO [12:26:42.817] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/2)
INFO [12:26:42.882] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 2/2)
INFO [12:26:43.061] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/2)
INFO [12:26:43.561] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 2/2)
INFO [12:26:44.522] [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-linux-x86_64-fedora-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/16s]
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 [12:26:55.417] [mlr3] Running benchmark with 4 resampling iterations
INFO [12:26:55.925] [mlr3] Applying learner 'classif.featureless' on task 'pima' (iter 1/1)
INFO [12:26:56.054] [mlr3] Applying learner 'classif.rpart' on task 'pima' (iter 1/1)
INFO [12:26:56.119] [mlr3] Applying learner 'classif.featureless' on task 'spam' (iter 1/1)
INFO [12:26:56.203] [mlr3] Applying learner 'classif.rpart' on task 'spam' (iter 1/1)
INFO [12:26:56.597] [mlr3] Finished benchmark
Saving _problems/test_BenchmarkAggr-101.R
INFO [12:26:59.282] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:26:59.396] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:26:59.481] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:26:59.548] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:26:59.616] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:26:59.690] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:26:59.827] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:26:59.902] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:26:59.956] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:27:00.011] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:27:00.064] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:27:00.119] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:27:00.163] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:27:00.209] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:27:00.293] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:27:00.385] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:27:00.479] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:27:00.621] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:27:00.804] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:27:00.998] [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-linux-x86_64-fedora-gcc
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: autoplot.BenchmarkAggr
> ### Title: Plots for BenchmarkAggr
> ### Aliases: autoplot.BenchmarkAggr
>
> ### ** Examples
>
> if (requireNamespaces(c("mlr3learners", "mlr3", "rpart", "xgboost"))) {
+ library(mlr3)
+ library(mlr3learners)
+ library(ggplot2)
+
+ set.seed(1)
+ task = tsks(c("iris", "sonar", "wine", "zoo"))
+ learns = lrns(c("classif.featureless", "classif.rpart", "classif.xgboost"))
+ learns$classif.xgboost$param_set$values$nrounds = 50
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3)))
+ obj = as_benchmark_aggr(bm)
+
+ # mean and error bars
+ autoplot(obj, type = "mean", level = 0.95)
+
+ if (requireNamespace("PMCMRplus", quietly = TRUE)) {
+ # critical differences
+ autoplot(obj, type = "cd",style = 1)
+ autoplot(obj, type = "cd",style = 2)
+
+ # post-hoc friedman-nemenyi
+ autoplot(obj, type = "fn")
+ }
+
+ }
INFO [16:03:29.849] [mlr3] Running benchmark with 36 resampling iterations
INFO [16:03:29.906] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [16:03:29.974] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [16:03:30.046] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [16:03:30.122] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [16:03:30.168] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [16:03:30.205] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [16:03:30.247] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [16:03:30.330] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [16:03:30.408] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [16:03:30.481] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [16:03:30.529] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [16:03:30.561] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [16:03:30.591] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [16:03:30.657] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [16:03:30.707] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [16:03:30.759] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [16:03:30.948] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [16:03:31.069] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [16:03:31.180] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [16:03:31.214] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [16:03:31.242] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [16:03:31.295] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [16:03:31.331] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [16:03:31.367] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [16:03:31.402] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [16:03:31.511] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [16:03:31.591] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [16:03:31.674] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [16:03:31.707] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [16:03:31.755] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [16:03:31.807] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [16:03:31.844] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [16:03:31.909] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [16:03:31.947] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [16:03:32.037] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [16:03:32.138] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
INFO [16:03:32.248] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-release-linux-x86_64
Current CRAN status: OK: 13
Current CRAN status: ERROR: 4, OK: 9
Version: 0.2.1
Check: examples
Result: ERROR
Running examples in ‘mlr3inferr-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_measures_ci
> ### Title: Default CI Method
> ### Aliases: mlr_measures_ci MeasureCi
>
> ### ** Examples
>
> rr = resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout"))
INFO [04:33:53.040] [mlr3] Resampling 'holdout' is being instantiated on task 'sonar'
INFO [04:33:53.308] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: resample ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.2.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [55s/60s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(mlr3inferr)
Loading required package: mlr3
>
> test_check("mlr3inferr")
Saving _problems/test_MeasureAbstractCi-2.R
Saving _problems/test_MeasureAbstractCi-8.R
Saving _problems/test_MeasureAbstractCi-14.R
Saving _problems/test_MeasureAbstractCi-22.R
Saving _problems/test_MeasureAbstractCi-37.R
Saving _problems/test_MeasureAbstractCi-53.R
Saving _problems/test_MeasureAbstractCi-60.R
Saving _problems/test_MeasureAbstractCi-77.R
Saving _problems/test_MeasureAbstractCi-83.R
Saving _problems/test_MeasureCi-2.R
Saving _problems/test_MeasureCiConZ-3.R
Saving _problems/test_MeasureCiConZ-8.R
Saving _problems/test_MeasureCiCorT-2.R
Saving _problems/test_MeasureCiCorT-7.R
Saving _problems/test_MeasureCiHoldout-2.R
Saving _problems/test_MeasureCiHoldout-7.R
Saving _problems/test_MeasureCiNestedCV-7.R
Saving _problems/test_MeasureCiNestedCV-13.R
Saving _problems/test_MeasureCiWaldCV-2.R
Saving _problems/test_MeasureCiWaldCV-10.R
Saving _problems/test_ResamplingNestedCV-31.R
Saving _problems/test_ResamplingPairedSubsampling-27.R
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_MeasureAbstractCi.R:2:3'): score throws error ──────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$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]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.2.1
Check: examples
Result: ERROR
Running examples in ‘mlr3inferr-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_measures_ci
> ### Title: Default CI Method
> ### Aliases: mlr_measures_ci MeasureCi
>
> ### ** Examples
>
> rr = resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout"))
INFO [17:17:28.784] [mlr3] Resampling 'holdout' is being instantiated on task 'sonar'
INFO [17:17:28.909] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: resample ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.2.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [32s/33s]
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-linux-x86_64-debian-gcc
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 [17:46:05.729] [mlr3] Resampling 'holdout' is being instantiated on task 'sonar'
INFO [17:46:06.592] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: resample ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.2.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [71s/123s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(mlr3inferr)
Loading required package: mlr3
>
> test_check("mlr3inferr")
Saving _problems/test_MeasureAbstractCi-2.R
Saving _problems/test_MeasureAbstractCi-8.R
Saving _problems/test_MeasureAbstractCi-14.R
Saving _problems/test_MeasureAbstractCi-22.R
Saving _problems/test_MeasureAbstractCi-37.R
Saving _problems/test_MeasureAbstractCi-53.R
Saving _problems/test_MeasureAbstractCi-60.R
Saving _problems/test_MeasureAbstractCi-77.R
Saving _problems/test_MeasureAbstractCi-83.R
Saving _problems/test_MeasureCi-2.R
Saving _problems/test_MeasureCiConZ-3.R
Saving _problems/test_MeasureCiConZ-8.R
Saving _problems/test_MeasureCiCorT-2.R
Saving _problems/test_MeasureCiCorT-7.R
Saving _problems/test_MeasureCiHoldout-2.R
Saving _problems/test_MeasureCiHoldout-7.R
Saving _problems/test_MeasureCiNestedCV-7.R
Saving _problems/test_MeasureCiNestedCV-13.R
Saving _problems/test_MeasureCiWaldCV-2.R
Saving _problems/test_MeasureCiWaldCV-10.R
Saving _problems/test_ResamplingNestedCV-31.R
Saving _problems/test_ResamplingPairedSubsampling-27.R
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_MeasureAbstractCi.R:2:3'): score throws error ──────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$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]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
[ FAIL 22 | WARN 0 | SKIP 0 | PASS 121 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.2.1
Check: examples
Result: ERROR
Running examples in ‘mlr3inferr-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_measures_ci
> ### Title: Default CI Method
> ### Aliases: mlr_measures_ci MeasureCi
>
> ### ** Examples
>
> rr = resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout"))
INFO [12:28:02.519] [mlr3] Resampling 'holdout' is being instantiated on task 'sonar'
INFO [12:28:02.979] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/1)
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: resample ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.2.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [58s/71s]
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-linux-x86_64-fedora-gcc
Current CRAN status: OK: 13
Current CRAN status: OK: 13