tests/testthat/_snaps/center.md

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

centering 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 for: disp, hp, drat, wt, qsec, vs, am, ... | 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 for: cyl, disp, hp, drat, qsec, ... | Trained, ignored weights

warns when NaN is returned due to Inf or -Inf

Code
  prep(rec)
Condition
  Warning:
  Column `x` returned NaN. Consider avoiding `Inf` values before normalising.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 4 data points and no incomplete rows.

  -- Operations 
  * Centering for: x | Trained

Code
  prep(rec)
Condition
  Warning:
  Column `x` returned NaN. Consider avoiding `Inf` values before normalising.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 4 data points and no incomplete rows.

  -- Operations 
  * Centering for: x | Trained

bake method errors when needed non-standard role columns are missing

Code
  bake(std_trained, new_data = biomass[, 1:2])
Condition
  Error in `step_center()`:
  ! The following required columns are missing from `new_data`: carbon, hydrogen, oxygen, nitrogen, and sulfur.

empty printing

Code
  rec
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Centering for: <none>

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 for: <none> | Trained

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * Centering for: carbon

Code
  prep(rec)
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 | Trained

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