Last updated on 2024-06-16 05:53:17 CEST.
| Package | ERROR | OK |
|---|---|---|
| tabnet | 2 | 11 |
Current CRAN status: ERROR: 2, OK: 11
Version: 0.6.0
Check: running R code from vignettes
Result: ERROR
Errors in running code in vignettes:
when running code in ‘Hierarchical_classification.Rmd’
...
> config <- tabnet_config(decision_width = 8, attention_width = 8,
+ num_steps = 3, penalty = 0.003, cat_emb_dim = 2, valid_split = 0.2,
+ l .... [TRUNCATED]
> starw_model <- tabnet_fit(starwars_train_tree, config = config,
+ epoch = 170, checkpoint_epochs = 25)
When sourcing ‘Hierarchical_classification.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘Missing_data_predictors.Rmd’
...
> cat_emb_dim <- map_dbl(ames %>% select_if(is.factor),
+ ~log2(nlevels(.x)) %>% round)
> ames_pretrain <- tabnet_pretrain(ames_rec, data = ames,
+ epoch = 50, cat_emb_dim = cat_emb_dim, valid_split = 0.2,
+ verbose = TRUE, batc .... [TRUNCATED]
When sourcing ‘Missing_data_predictors.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘interpretation.Rmd’
...
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
> set.seed(1)
> torch::torch_manual_seed(1)
When sourcing ‘interpretation.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘selfsupervised_training.Rmd’
...
> rec <- recipe(Class ~ ., lending_club) %>% step_normalize(all_numeric())
> unlabeled_baked_df <- rec %>% prep %>% bake(new_data = unlabeled)
> mod <- tabnet_pretrain(rec, unlabeled, epochs = 50,
+ valid_split = 0.2, batch_size = 5000, verbose = TRUE)
When sourcing ‘selfsupervised_training.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘tidymodels-interface.Rmd’
...
There were issues with some computations A: x2
There were issues with some computations A: x5
Warning: All models failed. Run `show_notes(.Last.tune.result)` for more information.
> collect_metrics(fit_rs)
When sourcing ‘tidymodels-interface.R’:
Error: All models failed. Run `show_notes(.Last.tune.result)` for more information.
Execution halted
‘Hierarchical_classification.Rmd’ using ‘UTF-8’... failed
‘Missing_data_predictors.Rmd’ using ‘UTF-8’... failed
‘interpretation.Rmd’ using ‘UTF-8’... failed
‘selfsupervised_training.Rmd’ using ‘UTF-8’... failed
‘tidymodels-interface.Rmd’ using ‘UTF-8’... failed
Flavor: r-oldrel-macos-arm64
Version: 0.6.0
Check: running R code from vignettes
Result: ERROR
Errors in running code in vignettes:
when running code in ‘Hierarchical_classification.Rmd’
...
> config <- tabnet_config(decision_width = 8, attention_width = 8,
+ num_steps = 3, penalty = 0.003, cat_emb_dim = 2, valid_split = 0.2,
+ l .... [TRUNCATED]
> starw_model <- tabnet_fit(starwars_train_tree, config = config,
+ epoch = 170, checkpoint_epochs = 25)
When sourcing ‘Hierarchical_classification.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘Missing_data_predictors.Rmd’
...
> cat_emb_dim <- map_dbl(ames %>% select_if(is.factor),
+ ~log2(nlevels(.x)) %>% round)
> ames_pretrain <- tabnet_pretrain(ames_rec, data = ames,
+ epoch = 50, cat_emb_dim = cat_emb_dim, valid_split = 0.2,
+ verbose = TRUE, batc .... [TRUNCATED]
When sourcing ‘Missing_data_predictors.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘interpretation.Rmd’
...
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
> set.seed(1)
> torch::torch_manual_seed(1)
When sourcing ‘interpretation.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘selfsupervised_training.Rmd’
...
> rec <- recipe(Class ~ ., lending_club) %>% step_normalize(all_numeric())
> unlabeled_baked_df <- rec %>% prep %>% bake(new_data = unlabeled)
> mod <- tabnet_pretrain(rec, unlabeled, epochs = 50,
+ valid_split = 0.2, batch_size = 5000, verbose = TRUE)
When sourcing ‘selfsupervised_training.R’:
Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Execution halted
when running code in ‘tidymodels-interface.Rmd’
...
There were issues with some computations A: x3
There were issues with some computations A: x5
Warning: All models failed. Run `show_notes(.Last.tune.result)` for more information.
> collect_metrics(fit_rs)
When sourcing ‘tidymodels-interface.R’:
Error: All models failed. Run `show_notes(.Last.tune.result)` for more information.
Execution halted
‘Hierarchical_classification.Rmd’ using ‘UTF-8’... failed
‘Missing_data_predictors.Rmd’ using ‘UTF-8’... failed
‘interpretation.Rmd’ using ‘UTF-8’... failed
‘selfsupervised_training.Rmd’ using ‘UTF-8’... failed
‘tidymodels-interface.Rmd’ using ‘UTF-8’... failed
Flavor: r-oldrel-macos-x86_64