code: def candidate_features(
      cls,
      candidates,
      export_file="models/candidate_features.json",
      feature_dict_file="models/entity_features.json",
  ):
      from sematch.utility import FileIO
  
      entity_features = FileIO.read_json_file(feature_dict_file)
      entity_features = {
          e["dbr"]: (e["desc"], e["cat"]) for e in entity_features
      }
      features = []
      for i, can in enumerate(candidates):
          print(i, " ", can)
          data = {}
          data["dbr"] = can
          data["desc"] = (
              entity_features[can][0]
              if can in entity_features
              else None
          )
          data["cat"] = (
              entity_features[can][1] if can in entity_features else []
          )
          features.append(data)
      FileIO.save_json_file(export_file, features)
      return features
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 4 for calling the EntityFeature obj's underlying member method code with example usage: obj.candidate_features(cls, candidates, export_file, feature_dict_file) and returns: features