workflows 1.2.0

New features

• Enable fitting and prediction with sparse data.

  • fit() can now take dgCMatrix and sparse tibbles as data values when
    add_recipe() or add_variables() is used (#245, #258).
  • predict() can now take dgCMatrix and sparse tibble input for new_data
    argument (#261).

• extract_fit_time() returns the time it took to train the workflow (#191).

Bug fixes and minor improvements

• Transition package warnings and errors to use cli instead of rlang (#241).

• Minimum R version bumped to 4.0.0.

• Added reference to add_variables() in stages vignette (@brshallo, #190).