Code
recipe(x) %>% step_cut(cat_var, breaks = 2) %>% prep()
Condition
Error in `step_cut()`:
Caused by error in `prep()`:
x All columns selected for the step should be double or integer.
* 1 factor variable found: `cat_var`
Code
recipe(x) %>% step_cut(everything(), breaks = 2) %>% prep()
Condition
Error in `step_cut()`:
Caused by error in `prep()`:
x All columns selected for the step should be double or integer.
* 1 factor variable found: `cat_var`
Code
full_breaks_check(10)
Condition
Error:
! Variable is invariant and equal to break point.
Code
full_breaks_check(c(10, 20))
Condition
Warning:
This will create a factor with one value only.
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Cut numeric 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
* Cut numeric for: <none> | Trained
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Cut numeric for: disp
Code
prep(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
* Cut numeric for: disp | Trained
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