Emil Hvitfeldt

Hello @naveranoc 👋 thanks for your interest in this project! Would you be able to show us in a little more detail what you would like to be able to...

I'm closing this for inactivity. If this functionality is still requested, please file another issue!

scikit-learn uses `feature_names_in` and `features_names_out`

closing in favor of https://github.com/tidymodels/recipes/issues/1158

I like it, it is basically a reverse `step_dummy()`

Steps in {recipes} according to whether they can use sparse vectors # Produce sparsity - step_count() - step_date() - step_dummy() - step_dummy_extract() - step_dummy_multi_choice() - step_holiday() - step_indicate_na() - step_ordinalscore()...

{themis} doesn't have any methods that apply. {embed} only has `step_feature_hash()`, but it is soft deprecated so I don't think it is worth it.

{textrecipes} has the following steps that produce sparsity - step_texthash() - step_tf() - step_tfidf() - step_dummy_hash() The remaining are unaffected

Even better!

Hello @uriahf 👋 Thank you for your interest in tidymodels! could you give us some examples or methods that you wish to use but is unable to do within the...