# outside argument Code recipe(~a, data = train_df) %>% step_percentile(a, outside = "left") %>% prep() %>% bake(new_data = new_df) Condition Error in `step_percentile()`: ! `outside` must be one of "none", "both", "upper", or "lower", not "left". # case weights Code rec_trained Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 8 case_weights: 1 -- Training information Training data contained 456 data points and no incomplete rows. -- Operations * Percentile transformation on: carbon, sulfur | Trained, weighted --- Code rec_trained Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 8 case_weights: 1 -- Training information Training data contained 456 data points and no incomplete rows. -- Operations * Percentile transformation on: carbon, sulfur | Trained, ignored weights # empty printing Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 10 -- Operations * Percentile transformation on: --- Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 10 -- Training information Training data contained 32 data points and no incomplete rows. -- Operations * Percentile transformation on: | Trained # printing Code print(rec) Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 8 -- Operations * Percentile transformation on: carbon, sulfur --- Code prep(rec) Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 8 -- Training information Training data contained 456 data points and no incomplete rows. -- Operations * Percentile transformation on: carbon, sulfur | Trained