class_docstr: Create topic model widget.
docstr: A list of coherence values mapped from min_topics to max_topics.
code: def coherence_values(self):
      """A list of coherence values mapped from min_topics to max_topics."""
      return self._coherence_values
  
imports: import warnings
  from typing import List, Optional, Dict, Tuple, TYPE_CHECKING
  import pandas
  import numpy
  from sklearn.decomposition import TruncatedSVD, NMF
  import matplotlib.pyplot
  import seaborn
  from data_describe.config._config import get_option
  from data_describe.text.text_preprocessing import create_doc_term_matrix, create_tfidf_matrix, filter_dictionary
  from data_describe.backends import _get_viz_backend
  from data_describe.compat import _compat, _requires, _in_notebook
  from data_describe._widget import BaseWidget
label_desc: Use image node_id 6 for calling the TopicModelWidget obj's underlying member method code with example usage: obj.coherence_values() and returns: self