Last updated on 2025-04-01 07:55:09 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.6.0 | 11.10 | 267.75 | 278.85 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.6.0 | 8.34 | 235.25 | 243.59 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.6.0 | 385.90 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.6.0 | 381.70 | ERROR | |||
| r-devel-macos-arm64 | 0.6.0 | 58.00 | OK | |||
| r-devel-macos-x86_64 | 0.6.0 | 95.00 | OK | |||
| r-devel-windows-x86_64 | 0.6.0 | 13.00 | 172.00 | 185.00 | ERROR | |
| r-patched-linux-x86_64 | 0.6.0 | 11.70 | 252.91 | 264.61 | ERROR | |
| r-release-linux-x86_64 | 0.6.0 | 10.68 | 265.25 | 275.93 | OK | |
| r-release-macos-arm64 | 0.6.0 | 70.00 | OK | |||
| r-release-macos-x86_64 | 0.6.0 | 141.00 | OK | |||
| r-release-windows-x86_64 | 0.6.0 | 12.00 | 182.00 | 194.00 | OK | |
| r-oldrel-macos-arm64 | 0.6.0 | OK | ||||
| r-oldrel-macos-x86_64 | 0.6.0 | 92.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.6.0 | 18.00 | 228.00 | 246.00 | OK |
Version: 0.6.0
Check: examples
Result: ERROR
Running examples in ‘tabnet-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: tabnet_pretrain
> ### Title: Tabnet model
> ### Aliases: tabnet_pretrain tabnet_pretrain.default
> ### tabnet_pretrain.data.frame tabnet_pretrain.formula
> ### tabnet_pretrain.recipe tabnet_pretrain.Node
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ data("ames", package = "modeldata")
+ pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
+ ## Don't show:
+ }) # examplesIf
> data("ames", package = "modeldata")
> pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
Error in `value_error()`:
! Can't convert data of class: 'NULL'
Backtrace:
▆
1. ├─(if (getRversion() >= "3.4") withAutoprint else force)(...)
2. │ └─base::source(...)
3. │ ├─base::withVisible(eval(ei, envir))
4. │ └─base::eval(ei, envir)
5. │ └─base::eval(ei, envir)
6. ├─tabnet::tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
7. └─tabnet:::tabnet_pretrain.formula(...)
8. └─tabnet:::tabnet_bridge(...)
9. └─tabnet:::tabnet_train_unsupervised(...)
10. ├─coro::loop(...)
11. │ └─rlang::eval_bare(loop, env)
12. └─coro (local) `<fn>`()
13. ├─coro::is_exhausted(elt <<- iterator())
14. ├─elt <<- iterator()
15. │ └─rlang::env_poke(env, lhs, value, inherit = TRUE, create = FALSE)
16. └─torch (local) iterator()
17. └─torch::dataloader_next(iter, coro::exhausted())
18. └─iter$.next()
19. └─self$.next_data()
20. └─self$.dataset_fetcher$fetch(index)
21. └─self$collate_fn(data)
22. └─base::lapply(data, utils_data_default_convert)
23. └─torch (local) FUN(X[[i]], ...)
24. └─base::tryCatch(...)
25. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
26. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
27. └─value[[3L]](cond)
28. └─torch:::value_error("Can't convert data of class: '{class(data)}'")
29. └─rlang::abort(glue::glue(gettext(...)[[1]], .envir = env), class = "value_error")
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
autoplot.tabnet_explain 34.746 1.043 39.460
autoplot.tabnet_fit 28.226 0.313 26.878
tabnet_fit 28.093 0.204 32.027
tabnet 12.886 0.227 13.921
tabnet_explain 11.960 0.070 13.601
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.6.0
Check: examples
Result: ERROR
Running examples in ‘tabnet-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: tabnet_pretrain
> ### Title: Tabnet model
> ### Aliases: tabnet_pretrain tabnet_pretrain.default
> ### tabnet_pretrain.data.frame tabnet_pretrain.formula
> ### tabnet_pretrain.recipe tabnet_pretrain.Node
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ data("ames", package = "modeldata")
+ pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
+ ## Don't show:
+ }) # examplesIf
> data("ames", package = "modeldata")
> pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
Error in `value_error()`:
! Can't convert data of class: 'NULL'
Backtrace:
▆
1. ├─(if (getRversion() >= "3.4") withAutoprint else force)(...)
2. │ └─base::source(...)
3. │ ├─base::withVisible(eval(ei, envir))
4. │ └─base::eval(ei, envir)
5. │ └─base::eval(ei, envir)
6. ├─tabnet::tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
7. └─tabnet:::tabnet_pretrain.formula(...)
8. └─tabnet:::tabnet_bridge(...)
9. └─tabnet:::tabnet_train_unsupervised(...)
10. ├─coro::loop(...)
11. │ └─rlang::eval_bare(loop, env)
12. └─coro (local) `<fn>`()
13. ├─coro::is_exhausted(elt <<- iterator())
14. ├─elt <<- iterator()
15. │ └─rlang::env_poke(env, lhs, value, inherit = TRUE, create = FALSE)
16. └─torch (local) iterator()
17. └─torch::dataloader_next(iter, coro::exhausted())
18. └─iter$.next()
19. └─self$.next_data()
20. └─self$.dataset_fetcher$fetch(index)
21. └─self$collate_fn(data)
22. └─base::lapply(data, utils_data_default_convert)
23. └─torch (local) FUN(X[[i]], ...)
24. └─base::tryCatch(...)
25. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
26. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
27. └─value[[3L]](cond)
28. └─torch:::value_error("Can't convert data of class: '{class(data)}'")
29. └─rlang::abort(glue::glue(gettext(...)[[1]], .envir = env), class = "value_error")
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
autoplot.tabnet_explain 33.968 0.559 30.155
tabnet_fit 27.853 0.084 27.950
autoplot.tabnet_fit 23.155 0.100 17.800
tabnet_explain 16.273 0.080 10.693
tabnet 11.154 0.159 8.584
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.6.0
Check: examples
Result: ERROR
Running examples in ‘tabnet-Ex.R’ failed
The error most likely occurred in:
> ### Name: tabnet_pretrain
> ### Title: Tabnet model
> ### Aliases: tabnet_pretrain tabnet_pretrain.default
> ### tabnet_pretrain.data.frame tabnet_pretrain.formula
> ### tabnet_pretrain.recipe tabnet_pretrain.Node
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ data("ames", package = "modeldata")
+ pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
+ ## Don't show:
+ }) # examplesIf
> data("ames", package = "modeldata")
> pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
Error in `value_error()`:
! Can't convert data of class: 'NULL'
Backtrace:
▆
1. ├─(if (getRversion() >= "3.4") withAutoprint else force)(...)
2. │ └─base::source(...)
3. │ ├─base::withVisible(eval(ei, envir))
4. │ └─base::eval(ei, envir)
5. │ └─base::eval(ei, envir)
6. ├─tabnet::tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
7. └─tabnet:::tabnet_pretrain.formula(...)
8. └─tabnet:::tabnet_bridge(...)
9. └─tabnet:::tabnet_train_unsupervised(...)
10. ├─coro::loop(...)
11. │ └─rlang::eval_bare(loop, env)
12. └─coro (local) `<fn>`()
13. ├─coro::is_exhausted(elt <<- iterator())
14. ├─elt <<- iterator()
15. │ └─rlang::env_poke(env, lhs, value, inherit = TRUE, create = FALSE)
16. └─torch (local) iterator()
17. └─torch::dataloader_next(iter, coro::exhausted())
18. └─iter$.next()
19. └─self$.next_data()
20. └─self$.dataset_fetcher$fetch(index)
21. └─self$collate_fn(data)
22. └─base::lapply(data, utils_data_default_convert)
23. └─torch (local) FUN(X[[i]], ...)
24. └─base::tryCatch(...)
25. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
26. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
27. └─value[[3L]](cond)
28. └─torch:::value_error("Can't convert data of class: '{class(data)}'")
29. └─rlang::abort(glue::glue(gettext(...)[[1]], .envir = env), class = "value_error")
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Version: 0.6.0
Check: examples
Result: ERROR
Running examples in ‘tabnet-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: tabnet_pretrain
> ### Title: Tabnet model
> ### Aliases: tabnet_pretrain tabnet_pretrain.default
> ### tabnet_pretrain.data.frame tabnet_pretrain.formula
> ### tabnet_pretrain.recipe tabnet_pretrain.Node
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ data("ames", package = "modeldata")
+ pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
+ ## Don't show:
+ }) # examplesIf
> data("ames", package = "modeldata")
> pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
Error in `value_error()`:
! Can't convert data of class: 'NULL'
Backtrace:
▆
1. ├─(if (getRversion() >= "3.4") withAutoprint else force)(...)
2. │ └─base::source(...)
3. │ ├─base::withVisible(eval(ei, envir))
4. │ └─base::eval(ei, envir)
5. │ └─base::eval(ei, envir)
6. ├─tabnet::tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
7. └─tabnet:::tabnet_pretrain.formula(...)
8. └─tabnet:::tabnet_bridge(...)
9. └─tabnet:::tabnet_train_unsupervised(...)
10. ├─coro::loop(...)
11. │ └─rlang::eval_bare(loop, env)
12. └─coro (local) `<fn>`()
13. ├─coro::is_exhausted(elt <<- iterator())
14. ├─elt <<- iterator()
15. │ └─rlang::env_poke(env, lhs, value, inherit = TRUE, create = FALSE)
16. └─torch (local) iterator()
17. └─torch::dataloader_next(iter, coro::exhausted())
18. └─iter$.next()
19. └─self$.next_data()
20. └─self$.dataset_fetcher$fetch(index)
21. └─self$collate_fn(data)
22. └─base::lapply(data, utils_data_default_convert)
23. └─torch (local) FUN(X[[i]], ...)
24. └─base::tryCatch(...)
25. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
26. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
27. └─value[[3L]](cond)
28. └─torch:::value_error("Can't convert data of class: '{class(data)}'")
29. └─rlang::abort(glue::glue(gettext(...)[[1]], .envir = env), class = "value_error")
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
autoplot.tabnet_explain 33.423 0.777 38.922
tabnet_fit 27.824 0.206 33.619
autoplot.tabnet_fit 23.950 0.255 23.688
tabnet 14.221 0.241 14.505
tabnet_explain 12.072 0.124 13.494
Flavor: r-patched-linux-x86_64