code: def model(doc_term_matrix):
      model_ = TopicModel("nmf", n_topics=5)
      model_.fit(doc_term_matrix)
      return model_
  
imports: import numpy
  import pytest
  from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD
  from textacy import Corpus
  from textacy import extract
  from textacy.tm import TopicModel
  from textacy.representations import Vectorizer
label_desc: Use image node_id 4 for calling a global function with example usage: model(doc_term_matrix) and returns: model_