feature_importance: feature_importance

View source: R/glmnet_utils.R

feature_importanceR Documentation

feature_importance

Description

feature_importance

Usage

feature_importance(
  ixfold,
  xfolds,
  dat,
  lambda = 0,
  vars,
  seed = 10,
  ycol,
  debug = FALSE,
  rpart = FALSE,
  permute_varlist = NULL,
  added_testd = NULL,
  caret_preprocess = do.pp(traind, vars = vars, method = "range", prefun = log1p),
  only_positive = FALSE,
  s = 0,
  alpha = 1
)

kevinmhadi/khtools documentation built on Jan. 16, 2025, 4:18 p.m.