code: def _summarize_coefficients(top_coefs, bottom_coefs):
      
  
      def get_row_name(row):
          if row['index'] is None:
              return row['name']
          else:
              return "%s[%s]" % (row['name'], row['index'])
  
      if len(top_coefs) == 0:
          top_coefs_list = [('No Positive Coefficients', _precomputed_field('') )]
      else:
          top_coefs_list = [ (get_row_name(row),
                              _precomputed_field(row['value'])) \
                              for row in top_coefs ]
  
      if len(bottom_coefs) == 0:
          bottom_coefs_list = [('No Negative Coefficients', _precomputed_field(''))]
      else:
          bottom_coefs_list = [ (get_row_name(row),
                              _precomputed_field(row['value'])) \
                              for row in bottom_coefs ]
  
      return ([top_coefs_list, bottom_coefs_list], \
                      [ 'Highest Positive Coefficients', 'Lowest Negative Coefficients'] )
docs: Return a tuple of sections and section titles.
      Sections are pretty print of model coefficients
  
      Parameters
      ----------
      top_coefs : SFrame of top k coefficients
  
      bottom_coefs : SFrame of bottom k coefficients
  
      Returns
      -------
      (sections, section_titles) : tuple
              sections : list
                  summary sections for top/bottom k coefficients
              section_titles : list
                  summary section titles