model-bagger.md
In tidypredict: Run Predictions Inside the Database

returns the right output

Code
  rlang::expr_text(tf)
Output
  [1] "(case_when(case_when(!is.na(wt) ~ wt < 2.975, !is.na(disp) ~ \n    disp < 163.8, !is.na(cyl) ~ cyl < 7, .default = FALSE) ~ \n    23.0583333333333, .default = case_when(case_when(!is.na(wt) ~ \n    wt < 3.545, !is.na(disp) ~ disp < 380, !is.na(cyl) ~ cyl < \n    7, .default = FALSE) ~ 16.9125, .default = 15.125)) + case_when(case_when(!is.na(wt) ~ \n    wt < 3.16, !is.na(disp) ~ disp < 163.8, !is.na(cyl) ~ cyl < \n    7, .default = FALSE) ~ 24.3642857142857, .default = 15.7444444444444) + \n    case_when(case_when(!is.na(wt) ~ wt < 2.26, !is.na(disp) ~ \n        disp < 101.55, !is.na(cyl) ~ cyl < 5, .default = FALSE) ~ \n        30.0857142857143, .default = case_when(case_when(!is.na(cyl) ~ \n        cyl < 7, !is.na(disp) ~ disp < 250.4, !is.na(wt) ~ wt < \n        3.3125, .default = TRUE) ~ 20.4428571428571, .default = 14.6454545454545)))/3L"

unsupported base models error

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! Only "CART" and "C5.0" bagged models are supported, not "MARS".
  i Fit the model with `base_model = "CART"` or `base_model = "C5.0"`.

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! Only "CART" and "C5.0" bagged models are supported, not "MARS".
  i Fit the model with `base_model = "CART"` or `base_model = "C5.0"`.

.extract_bagger_trees errors on bad input

Code
  .extract_bagger_trees(list())
Condition
  Error in `.extract_bagger_trees()`:
  ! `model` must be <bagger>, not an empty list.

Code
  .extract_bagger_trees(bagger_cls())
Condition
  Error in `.extract_bagger_trees()`:
  ! Classification models are not supported.
  i Use `.extract_bagger_classprob()` for classification models.

.extract_bagger_classprob errors on bad input

Code
  .extract_bagger_classprob(list())
Condition
  Error in `.extract_bagger_classprob()`:
  ! `model` must be <bagger>, not an empty list.

Code
  .extract_bagger_classprob(bagger_reg())
Condition
  Error in `.extract_bagger_classprob()`:
  ! Model is not a classification model.
  i Use `.extract_bagger_trees()` for regression models.

C5.0 base models with a cost matrix error

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! tidypredict does not support C5.0 models fitted with a cost matrix (`costs`).

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! tidypredict does not support C5.0 models fitted with a cost matrix (`costs`).

C5.0 fuzzyThreshold aborts

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! tidypredict does not support C5.0 models with fuzzy thresholds (`fuzzyThreshold = TRUE`).

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! tidypredict does not support C5.0 models with fuzzy thresholds (`fuzzyThreshold = TRUE`).