tests/testthat/_snaps/retraining.md

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

training in stages

Code
  no_sulfur_trained <- prep(no_sulfur)

Code
  sequentially <- prep(scale_last)

Code
  in_stages_trained <- prep(in_stages)

Code
  rec %>% step_center(carbon, hydrogen, oxygen, nitrogen, sulfur) %>% prep(
    training = biomass) %>% step_rm(sulfur) %>% prep(training = biomass)
Condition
  Warning in `prep()`:
  ! The previous data will be used by `prep()`.
  i The data passed using `training` will be ignored.
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Training information 
  Training data contained 536 data points and no incomplete rows.

  -- Operations 
  * Centering for: carbon, hydrogen, oxygen, nitrogen, sulfur | Trained
  * Variables removed: sulfur | Trained

tidymodels/recipes documentation built on Jan. 25, 2025, 7:30 a.m.