Code
rec %>% step_relevel(sqft, ref_level = 23) %>% prep()
Condition
Error in `step_relevel()`:
Caused by error in `prep()`:
x All columns selected for the step should be string or factor.
* 1 integer variable found: `sqft`
Code
rec %>% step_relevel(city, ref_level = "missing_level") %>% prep()
Condition
Error in `step_relevel()`:
Caused by error in `prep()`:
! The following column doesn't include required reference level "missing_level": `city`.
Code
rec %>% step_relevel(city, ref_level = character(0)) %>% prep()
Condition
Error in `step_relevel()`:
Caused by error in `prep()`:
! `ref_level` must be a single string, not an empty character vector.
Code
bake(rec_1, sacr_te[, c(1, 3:ncol(sacr_te))])
Condition
Error in `step_relevel()`:
! The following required column is missing from `new_data`: zip.
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Re-order factor level to ref_level for: <none>
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Training information
Training data contained 32 data points and no incomplete rows.
-- Operations
* Re-order factor level to ref_level for: <none> | Trained
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 9
-- Operations
* Re-order factor level to ref_level for: zip
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 9
-- Training information
Training data contained 800 data points and no incomplete rows.
-- Operations
* Re-order factor level to ref_level for: zip | Trained
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