code: def as_list(self, label=1, **kwargs):
          
          label_to_use = label if self.mode == "classification" else self.dummy_label
          ans = self.domain_mapper.map_exp_ids(self.local_exp[label_to_use], **kwargs)
          ans = [(x[0], float(x[1])) for x in ans]
          return ans
docs: Returns the explanation as a list.
  
          Args:
              label: desired label. If you ask for a label for which an
                  explanation wasn't computed, will throw an exception.
                  Will be ignored for regression explanations.
              kwargs: keyword arguments, passed to domain_mapper
  
          Returns:
              list of tuples (representation, weight), where representation is
              given by domain_mapper. Weight is a float.