Feature request: collect_notes

[EmilHvitfeldt]

What it says in the title. A function to collect all the errors in a fast and easy way.

basic prototype

collect_notes <- function(x) {
  x$.notes %>%
  bind_rows()
}

library(tidymodels)
set.seed(6735)
mtcars1 <- mtcars
mtcars1$disp <- "no value"

folds <- vfold_cv(mtcars1, v = 5)

spline_rec <- recipe(mpg ~ ., data = mtcars1) %>%
  step_ns(disp) %>%
  step_ns(wt)

lin_mod <- linear_reg() %>%
  set_engine("lm")

control <- control_resamples(save_pred = TRUE)

spline_res <- fit_resamples(lin_mod, spline_rec, folds, control = control)
#> x Fold1: preprocessor 1/1: Error: All columns selected for the step should be num...
#> x Fold2: preprocessor 1/1: Error: All columns selected for the step should be num...
#> x Fold3: preprocessor 1/1: Error: All columns selected for the step should be num...
#> x Fold4: preprocessor 1/1: Error: All columns selected for the step should be num...
#> x Fold5: preprocessor 1/1: Error: All columns selected for the step should be num...
#> Warning: All models failed. See the `.notes` column.

collect_notes <- function(x) {
  x$.notes %>%
  bind_rows()
}

spline_res %>%
  collect_notes()
#> # A tibble: 5 x 1
#>   .notes                                                                      
#>   <chr>                                                                       
#> 1 preprocessor 1/1: Error: All columns selected for the step should be numeric
#> 2 preprocessor 1/1: Error: All columns selected for the step should be numeric
#> 3 preprocessor 1/1: Error: All columns selected for the step should be numeric
#> 4 preprocessor 1/1: Error: All columns selected for the step should be numeric
#> 5 preprocessor 1/1: Error: All columns selected for the step should be numeric

^{Created on 2021-03-28 by the reprex package (v0.3.0)}

[topepo]

That would be great. We might also want to add the resampling id's too.

[EmilHvitfeldt]

Can I take a stab at this?

[EmilHvitfeldt]

closed in #418

[github-actions]

This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.