# case weights Code filtering_trained Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 7 case_weights: 1 -- Training information Training data contained 100 data points and 100 incomplete rows. -- Operations * Missing value column filter removed: dbl2, dbl3, dbl4, ... | Trained, weighted --- Code filtering_trained Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 7 case_weights: 1 -- Training information Training data contained 100 data points and 100 incomplete rows. -- Operations * Missing value column filter removed: dbl2, ... | Trained, ignored weights # empty printing Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 10 -- Operations * Missing value column filter 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 * Missing value column filter removed: | Trained # printing Code print(rec) Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 7 -- Operations * Missing value column filter on: all_predictors() --- Code prep(rec) Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role predictor: 7 -- Training information Training data contained 100 data points and 100 incomplete rows. -- Operations * Missing value column filter removed: dbl2, dbl3, dbl4, dbl5, chr2 | Trained