# missing data Code prep(rec_false, training = ex_dat, verbose = FALSE) Condition Error in `step_YeoJohnson()`: Caused by error in `prep()`: ! Missing values are not allowed for the YJ transformation. See `na_rm` option # printing Code print(rec) Output Recipe Inputs: role #variables predictor 4 Operations: Yeo-Johnson transformation on x1, x2, x3, x4 --- Code prep(rec) Output Recipe Inputs: role #variables predictor 4 Training data contained 20 data points and no missing data. Operations: Yeo-Johnson transformation on x1, x2, x4 [trained] # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Yeo-Johnson transformation on <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Yeo-Johnson transformation on <none> [trained]
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