Given a fitted parsnip model or workflow (for example a LASSO glmnet logistic regression), returns the
rows of concepts whose predictor has a non-zero coefficient. Use it to keep the in-database scoring table
narrow: pass the result to materialize_concept_features().
Arguments
- fit
A fitted parsnip model, or a fitted workflow.
- concepts
The
conceptsdata.frame of anextract_sparse_concept_matrix()result (or the result itself).
