# bad input Code iris_rec %>% step_sample(size = -1) Condition Error in `step_sample()`: ! `size` should be a positive number or NULL. --- Code iris_rec %>% step_sample(size = "a") Condition Error in `step_sample()`: ! `size` should be a positive number or NULL. --- Code iris_rec %>% step_sample(replace = "a") Condition Error in `step_sample()`: ! `replace` should be a single logical. # printing Code print(rec) Output Recipe Inputs: role #variables predictor 6 Operations: Row sampling <none> --- Code prep(rec) Output Recipe Inputs: role #variables predictor 6 Training data contained 150 data points and no missing data. Operations: Row sampling <none> [trained] # sample with case weights Code rec Output Recipe Inputs: role #variables case_weights 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Row sampling <none> [weighted, trained] --- Code rec Output Recipe Inputs: role #variables case_weights 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Row sampling <none> [weighted, trained]
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