# non-numeric Code prep(impute_rec, training = credit_tr, verbose = FALSE) Condition Error in `step_impute_mean()`: Caused by error in `prep()`: ! All columns selected for the step should be double, or integer. # Deprecation warning Code recipe(~., data = mtcars) %>% step_meanimpute() Condition Error: ! `step_meanimpute()` was deprecated in recipes 0.1.16 and is now defunct. i Please use `step_impute_mean()` instead. # printing Code print(impute_rec) Output Recipe Inputs: role #variables outcome 1 predictor 13 Operations: Mean imputation for Age, Assets, Income --- Code prep(impute_rec) Output Recipe Inputs: role #variables outcome 1 predictor 13 Training data contained 2000 data points and 186 incomplete rows. Operations: Mean imputation for Age, Assets, Income [trained] # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Mean 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: Mean imputation for <none> [trained] # case weights Code impute_rec Output Recipe Inputs: role #variables case_weights 1 outcome 1 predictor 12 Training data contained 2000 data points and 186 incomplete rows. Operations: Mean imputation for Age, Assets, Income [weighted, trained] --- Code impute_rec Output Recipe Inputs: role #variables case_weights 1 outcome 1 predictor 12 Training data contained 2000 data points and 186 incomplete rows. Operations: Mean imputation for Age, Assets, Income [ignored weights, trained]
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