Extract and Combine Feature Importances from Kumquat Objects

pinch_importance() extracts feature importance values from kumquats and combines them into a single data frame.

Usage

pinch_importance(kumquats)

Arguments

kumquats

A result from a call to make_kumquats

Value

A data.frame where each row corresponds to the feature importances extracted from one kumquat object. Column names represent feature names.

Examples

data(d_vertical)
rfmodel <- randomForest::randomForest(
 class ~ x + y,
 data = d_vertical
)
# Bundle model up
rfmodel_bundled <- bundle::bundle(rfmodel)
ks <- kumquat(
 rfmodel_bundled,
 d_vertical,
  d_vertical[1,],
  class_names = unique(d_vertical$class)
)
#> INFO [2026-06-19 02:26:52] Picking kumquats for row: 1
imps <- pinch_importance(ks)