code: def _row_norm(dists):
      # row normalization function required
      # for doc_topic_dists and topic_term_dists
      return dists / dists.sum(axis=1)[:, None]
  
file_path: pyLDAvis/notebooks/pyLDAvis/lda_model.py
imports: import funcy
  import pyLDAvis
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: _row_norm(dists) and returns: unknown