workflow_set.md
In workflowsets: Create a Collection of 'tidymodels' Workflows

specifying a column that is not case weights

Code
  car_set_2 <- workflow_map(workflow_set(list(reg = mpg ~ ., nonlin = mpg ~ wt +
    1 / sqrt(disp)), list(lm = lr_spec), case_weights = non_wts), "fit_resamples",
  resamples = vfold_cv(cars, v = 5))
Message
  x Fold1: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold2: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold3: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold4: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold5: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.
Message
  x Fold1: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold2: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold3: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold4: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
  x Fold5: preprocessor 1/1:
    Error in `fit()`:
    ! `col` must select a classed case weights column, as determined by `h...
    i For example, it could be a column created by `hardhat::frequency_wei...
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.

Code
  class_note$note[1]
Output
  [1] "Error in `fit()`:\n! `col` must select a classed case weights column, as determined by `hardhat::is_case_weights()`.\ni For example, it could be a column created by `hardhat::frequency_weights()` or `hardhat::importance_weights()`."

specifying an engine that does not allow case weights

Code
  car_set_3 <- workflow_set(list(reg = mpg ~ ., nonlin = mpg ~ wt + 1 / sqrt(disp)),
  list(lm = lr_spec, knn = knn_spec), case_weights = wts)
Condition
  Warning:
  Case weights are not enabled by the underlying model implementation for the engine "kknn".
  i The `case_weights` argument will be ignored for specifications using that engine.

specifying a case weight column that isn't in the resamples

Code
  car_set_4 <- workflow_map(workflow_set(list(reg = mpg ~ ., nonlin = mpg ~ wt +
    1 / sqrt(disp)), list(lm = lr_spec), case_weights = boop), "fit_resamples",
  resamples = vfold_cv(cars, v = 5))
Message
  x Fold1: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold2: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold3: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold4: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold5: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.
Message
  x Fold1: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold2: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold3: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold4: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
  x Fold5: preprocessor 1/1:
    Error in `fit()`:
    ! Can't select columns that don't exist.
    x Column `boop` doesn't exist.
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.

Code
  class_note$note[1]
Output
  [1] "Error in `fit()`:\n! Can't select columns that don't exist.\nx Column `boop` doesn't exist."

crossing

Code
  nrow(workflow_set(list(reg = mpg ~ ., nonlin = mpg ~ wt + 1 / sqrt(disp), two = mpg ~
    wt + disp), list(lm = lr_spec, knn = knn_spec), cross = FALSE))
Condition
  Error in `workflow_set()`:
  ! The lengths of `preproc` and `models` are different and `cross = FALSE`.

checking resamples

Code
  as_workflow_set(wt = f_1, disp = f_2)
Condition
  Error in `as_workflow_set()`:
  ! Different resamples were used in the workflow results.
  i All elements of result must use the same resamples.

constructor

Code
  new_workflow_set(dplyr::select(car_set_1, -info))
Condition
  Error:
  ! The object should have columns wflow_id, info, option, and result.

Code
  new_workflow_set(dplyr::mutate(car_set_1, info = "a"))
Condition
  Error:
  ! The info column should be a list.

Code
  new_workflow_set(dplyr::mutate(car_set_1, result = "a"))
Condition
  Error:
  ! The result column should be a list.

Code
  new_workflow_set(dplyr::mutate(car_set_1, option = "a"))
Condition
  Error:
  ! The option column should be a list.

Code
  new_workflow_set(dplyr::mutate(car_set_1, wflow_id = 1))
Condition
  Error:
  ! The wflow_id column should be character.

Code
  new_workflow_set(dplyr::mutate(car_set_1, wflow_id = "a"))
Condition
  Error:
  ! The wflow_id column should contain unique, non-missing character strings.

pillar formatting

# A workflow set/tibble: 3 x 4
  wflow_id         info             option    result    
  <chr>            <list>           <list>    <list>    
1 date_lm          <tibble [1 x 4]> <opts[0]> <list [0]>
2 plus_holidays_lm <tibble [1 x 4]> <opts[0]> <list [0]>
3 plus_pca_lm      <tibble [1 x 4]> <opts[0]> <list [0]>

# A workflow set/tibble: 3 x 4
  wflow_id         info             option    result   
  <chr>            <list>           <list>    <list>   
1 date_lm          <tibble [1 x 4]> <opts[2]> <rsmp[+]>
2 plus_holidays_lm <tibble [1 x 4]> <opts[2]> <rsmp[+]>
3 plus_pca_lm      <tibble [1 x 4]> <opts[3]> <tune[+]>