# bad data Code rec %>% step_impute_lower(carbon, hydrogen, has_neg) %>% prep() Condition Error in `step_impute_lower()`: Caused by error in `prep()`: ! Some columns have negative values. Lower bound imputation is intended for data bounded at zero. # Deprecation warning Code recipe(~., data = mtcars) %>% step_lowerimpute() Condition Error: ! `step_lowerimpute()` was deprecated in recipes 0.1.16 and is now defunct. i Please use `step_impute_lower()` instead. # printing Code print(rec) Output Recipe Inputs: role #variables outcome 1 predictor 3 --- Code prep(rec2) Output Recipe Inputs: role #variables outcome 1 predictor 3 Training data contained 536 data points and no missing data. Operations: Lower bound imputation for carbon, hydrogen [trained] # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Lower bound 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: Lower bound imputation for <none> [trained]
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