Including on the CRAN R CMD CHECK workflow, we're seeing:
old[2:6] vs new[2:6]
multinom_reg(penalty = 0.01) %>% set_engine("glmnet") %>% fit(class ~ ., data = hpc_data) %>%
predict(hpc_data, penalty = 0:1)
Condition
- Error in `.check_glmnet_penalty_predict()`:
+ Error:
- ! `penalty` should be a single numeric value. `multi_predict()` can be used to get multiple predictions per row of data.
+ ! argument "..3" is missing, with no default
Including on the CRAN R CMD CHECK workflow, we're seeing:
CRAN checks for parsnip and censored are fine.