tests/testthat/_snaps/pre-action-case-weights.md

In workflows: Modeling Workflows

case weights + recipe can optionally require case weights at predict time

Code
  predict(wf, df)
Condition
  Error in `validate_column_names()`:
  ! The following required columns are missing: 'w'.

case weights + recipe requires extra roles at predict time by default

Code
  predict(wf, df)
Condition
  Error in `validate_column_names()`:
  ! The following required columns are missing: 'w'.

case weights + recipe doesn't allow the recipe to drop the case weights column

Code
  fit(wf, df)
Condition
  Error in `fit()`:
  ! No columns with a `"case_weights"` role exist in the data after processing the recipe.
  i Did you remove or modify the case weights while processing the recipe?

case weights + recipe doesn't allow the recipe to adjust the case weights column class

Code
  fit(wf, df)
Condition
  Error in `fit()`:
  ! The column with a recipes role of `"case_weights"` must be a classed case weights column, as determined by `hardhat::is_case_weights()`.
  i Did you modify the case weights while processing the recipe?

case weights + recipe doesn't allow the recipe to change the name of the case weights column

Code
  fit(wf, df)
Condition
  Error in `fit()`:
  ! Can't subset columns that don't exist.
  x Column `w` doesn't exist.

case weights col can't select >1 columns in data

Code
  fit(wf, mtcars)
Condition
  Error in `fit()`:
  ! `col` must specify exactly one column from `data` to extract case weights from.

case weights must inherit from the base case weights class

Code
  fit(wf, df)
Condition
  Error in `fit()`:
  ! `col` must select a classed case weights column, as determined by `hardhat::is_case_weights()`. For example, it could be a column created by `hardhat::frequency_weights()` or `hardhat::importance_weights()`.

workflows documentation built on May 29, 2024, 3:57 a.m.