# step_cut throws error on non-numerics Code recipe(x) %>% step_cut(cat_var, breaks = 2) %>% prep() Condition Error in `step_cut()`: Caused by error in `prep()`: ! All columns selected for the step should be double, or integer. --- Code recipe(x) %>% step_cut(everything(), breaks = 2) %>% prep() Condition Error in `step_cut()`: Caused by error in `prep()`: ! All columns selected for the step should be double, or integer. # full_breaks_check will give warnings Code full_breaks_check(10) Condition Error in `full_breaks_check()`: ! In step_cut: variable is invariant and equal to break point. --- Code full_breaks_check(c(10, 20)) Condition Warning: In step_cut: this will create a factor with one value only. # printing Code print(rec5) Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Cut numeric for disp --- Code prep(rec5) Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Cut numeric for disp [trained] # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Cut numeric for <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Cut numeric for <none> [trained]
Generated by dwww version 1.15 on Wed Jun 26 03:30:41 CEST 2024.