# warns on zv Code prep(rec1) Condition Warning: Column(s) have zero variance so scaling cannot be used: `zero_variance`. Consider using `step_zv()` to remove those columns before normalizing Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 6 -- Training information Training data contained 536 data points and no incomplete rows. -- Operations * Centering and scaling for: carbon, hydrogen, oxygen, nitrogen, ... | Trained # normalizing with case weights Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 9 case_weights: 1 -- Training information Training data contained 32 data points and no incomplete rows. -- Operations * Centering and scaling for: disp, hp, drat, wt, qsec, ... | Trained, weighted --- Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 9 case_weights: 1 -- Training information Training data contained 32 data points and no incomplete rows. -- Operations * Centering and scaling for: cyl, disp, hp, drat, ... | Trained, ignored weights # empty printing Code rec Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 10 -- Operations * Centering and scaling for: --- 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 * Centering and scaling for: | Trained # printing Code print(rec) Message -- Recipe ---------------------------------------------------------------------- -- Inputs Number of variables by role outcome: 1 predictor: 10 -- Operations * Centering and scaling for: disp, wt --- Code prep(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 * Centering and scaling for: disp, wt | Trained