tests/testthat/_snaps/sparsevctrs.md

In tidymodels/workflows: Modeling Workflows

sparse tibble can be passed to `fit() - formula

Code
  wf_fit <- fit(wf_spec, hotel_data)
Condition
  Error in `fit()`:
  ! Sparse data cannot be used with the formula interface. Please use `add_recipe()` or `add_variables()` instead.

sparse matrices can be passed to `fit() - recipe

Code
  wf_fit <- fit(wf_spec, hotel_data)
Output
  sparsevctrs: Sparse vector materialized

sparse matrices can be passed to `fit() - formula

Code
  wf_fit <- fit(wf_spec, hotel_data)
Condition
  Error in `fit()`:
  ! Sparse data cannot be used with the formula interface. Please use `add_recipe()` or `add_variables()` instead.

sparse matrices can be passed to `fit() - xy

Code
  wf_fit <- fit(wf_spec, hotel_data)
Output
  sparsevctrs: Sparse vector materialized

fit() errors if sparse matrix has no colnames

Code
  fit(wf_spec, hotel_data)
Condition
  Error in `fit()`:
  ! `x` must have column names.

tidymodels/workflows documentation built on Feb. 24, 2025, 5:44 a.m.