extract_data.md
In important: Supervised Feature Selection

extracting derived data - formula

Code
  important:::extract_data_derived(cls_f_fit, data = ad_data_small, type = "geno")
Condition
  Error in `important:::extract_data_derived()`:
  ! `type` must be one of "predictors" or "outcomes", not "geno".

Code
  important:::extract_data_derived(cls_f_fit, data = ad_data_small[, 1])
Condition
  Error in `hardhat::forge()`:
  ! The required columns "tau", "p_tau", "VEGF", "MMP10", "Genotype", and "male" are missing.

extracting original data - formula

Code
  important:::extract_data_original(cls_f_fit, data = ad_data_small[, 1])
Condition
  Error in `data[, col_names]`:
  ! Can't subset columns that don't exist.
  x Columns `tau`, `p_tau`, `VEGF`, `MMP10`, `Genotype`, etc. don't exist.