load_mallet_model: Read in model outputs from files

In agoldst/dfrtopics: Tools for exploring topic models of text

Read in model outputs from files

Description

Load a model object from a set of files (like those produced from write_mallet_model). Leave a filename out to skip loading that piece of the puzzle.

Usage

load_mallet_model(
  doc_topics_file,
  doc_ids_file,
  vocab_file,
  top_words_file = NULL,
  topic_words_file = NULL,
  metadata_file = NULL,
  params_file = NULL,
  state_file = NULL
)

Arguments

doc_topics_file	document-topic matrix file (CSV)
doc_ids_file	document id file (text, one ID per line)
vocab_file	model vocabulary file (text, one word type per line)
top_words_file	topic top word data frame file (CSV)
topic_words_file	topic-word matrix file (CSV)
metadata_file	metadata file (CSV or TSV)
params_file	modeling parameters file (read with dget)
state_file	CSV with simplified Gibbs sampling state (created by output_mallet_model or simplify_state)

Value

a mallet_model object

See Also

load_mallet_model_directory, load_from_mallet_state

agoldst/dfrtopics documentation built on July 15, 2022, 4:13 p.m.