code: def generate_term_names(feature_names, term_features):
      return [
          " & ".join(feature_names[i] for i in grp)
          for grp in term_features
      ]
  
imports: from math import ceil, isnan, isinf, exp, log
  from ...utils._native import Native
  from ._tensor import restore_missing_value_zeros
  import numpy
  import warnings
  from itertools import islice
  import logging
label_desc: Use image node_id 6 for calling a global function with example usage: generate_term_names(feature_names, term_features) and returns: unknown