Generate closure function to run batch_snf in an apply-friendly format

Usage

batch_row_closure(
  dl,
  dfl,
  cfl,
  sdf,
  wm,
  similarity_matrix_dir,
  return_sim_mats,
  prog
)

dl: A nested list of input data from data_list().
dfl: An optional nested list containing which distance metric function should be used for the various feature types (continuous, discrete, ordinal, categorical, and mixed). See ?dist_fns_list for details on how to build this.
cfl: List of custom clustering algorithms to apply to the final fused network. See ?clust_fns_list.
sdf: matrix indicating parameters to iterate SNF through.
wm: A matrix containing feature weights to use during distance matrix calculation. See ?weights_matrix for details on how to build this.
similarity_matrix_dir: If specified, this directory will be used to save all generated similarity matrices.
return_sim_mats: If TRUE, function will return a list where the first element is the solutions data frame and the second element is a list of similarity matrices for each row in the sol_df. Default FALSE.
prog: Progressr function to update parallel processing progress

A "function" class object used to run batch_snf in lapply-form for parallel processing.