Train Module 3 topic models — module3_train_topic

Public step function for training one Module 3 topic-model setup after [module3_prepare_differential_links()] has produced filtered differential links. This is a thin Module 3-named wrapper around the internal training engine.

Usage

module3_train_topic_models(
  k_grid,
  filtered_dir,
  output_dir,
  flat_output = TRUE,
  ...
)

Arguments

k_grid: Integer vector of K values for training.
filtered_dir: Directory containing Module 3 filtered differential-link files.
output_dir: Directory to write topic model outputs.
flat_output: Whether to write this selected setup directly under `output_dir`. Defaults to `TRUE` for the public step API.
...: Additional arguments passed to the internal training engine, such as `doc_design`, `fp_term_mode`, `backend`, and `local_threads`.

Value

Invisibly returns TRUE when training completes.