# non-nominal
Code
prep(impute_rec, training = credit_tr, verbose = FALSE)
Condition
Error in `step_impute_mode()`:
Caused by error in `prep()`:
! The data should be character or factor to compute the mode.
# can bake recipes with no ptype
Code
imputed_te <- bake(imputed, credit_te)
Condition
Warning:
'ptype' was added to `step_impute_mode()` after this recipe was created.
Regenerate your recipe to avoid this warning.
# Deprecation warning
Code
recipe(~., data = mtcars) %>% step_modeimpute()
Condition
Error:
! `step_modeimpute()` was deprecated in recipes 0.1.16 and is now defunct.
i Please use `step_impute_mode()` instead.
# printing
Code
print(impute_rec)
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 13
Operations:
Mode imputation for Status, Home, Marital
---
Code
prep(impute_rec)
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 13
Training data contained 2000 data points and 186 incomplete rows.
Operations:
Mode imputation for Status, Home, Marital [trained]
# empty printing
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Operations:
Mode imputation for <none>
---
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Training data contained 32 data points and no missing data.
Operations:
Mode imputation for <none> [trained]
# case weights
Code
imputed
Output
Recipe
Inputs:
role #variables
case_weights 1
predictor 1
Training data contained 150 data points and 10 incomplete rows.
Operations:
Mode imputation for x1 [weighted, trained]
---
Code
imputed
Output
Recipe
Inputs:
role #variables
case_weights 1
predictor 1
Training data contained 150 data points and 10 incomplete rows.
Operations:
Mode imputation for x1 [ignored weights, trained]
Generated by dwww version 1.15 on Sat May 18 04:25:52 CEST 2024.