# deals with bad input Code recipe(~., data = ex_dat) %>% step_intercept(value = "Pie") %>% prep() Condition Error in `step_intercept()`: ! Intercept value must be numeric. --- Code recipe(~., data = ex_dat) %>% step_intercept(name = 4) %>% prep() Condition Error in `step_intercept()`: ! Intercept/constant column name must be a character value. --- Code recipe(~., data = ex_dat) %>% step_intercept(all_predictors()) %>% prep() Condition Warning: Selectors are not used for this step. Output Recipe Inputs: role #variables predictor 2 Training data contained 10 data points and no missing data. Operations: Adding intercept named: intercept [trained] # printing Code print(rec) Output Recipe Inputs: role #variables predictor 2 Operations: Adding intercept named: intercept --- Code prep(rec) Output Recipe Inputs: role #variables predictor 2 Training data contained 10 data points and no missing data. Operations: Adding intercept named: intercept [trained]
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