# wrong type
Code
prep(rec4, ex_dat, verbose = FALSE)
Condition
Error in `step_ratio()`:
Caused by error in `prep()`:
! All columns selected for the step should be double, or integer.
---
Code
prep(rec5, ex_dat, verbose = FALSE)
Condition
Error in `step_ratio()`:
Caused by error in `prep()`:
! All columns selected for the step should be double, or integer.
---
Code
prep(rec6, ex_dat, verbose = FALSE)
Condition
Error in `step_ratio()`:
Caused by error in `prep()`:
! All columns selected for the step should be double, or integer.
# printing
Code
print(rec3)
Output
Recipe
Inputs:
role #variables
predictor 5
Operations:
Ratios from all_numeric(), all_numeric()
---
Code
prep(rec3)
Output
Recipe
Inputs:
role #variables
predictor 5
Training data contained 10 data points and 1 incomplete row.
Operations:
Ratios from x2, x3, x4, x1, x1, x2, x3, x4 [trained]
# can prep recipes with no keep_original_cols
Code
prep1 <- prep(rec1, training = ex_dat, verbose = FALSE)
Condition
Warning:
'keep_original_cols' was added to `step_ratio()` after this recipe was created.
Regenerate your recipe to avoid this warning.
# empty printing
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Operations:
Ratios from mpg
---
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Training data contained 32 data points and no missing data.
Operations:
Ratios from <none> [trained]
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