class_docstr: Set expansion module, given a trained np2vec model.
class_docstr_tok: ["Set","expansion","module",",","given","a","trained","np2vec","model","."]
docstr: Given the id of a noun phrase, return the noun phrase string.
  
  Args:
      id(str): id
  
   Returns:
      term (noun phrase)
docstr_tok: ["Given","the","id","of","a","noun","phrase",",","return","the","noun","phrase","string",".","Args",":","id","(","str",")",":","id","Returns",":","term","(","noun","phrase",")"]
code: def __id2term(self, id):
      """
      Given the id of a noun phrase, return the noun phrase string.
  
      Args:
          id(str): id
  
       Returns:
          term (noun phrase)
      """
      norm = id.replace(self.mark_char, " ")[:-1]
      if self.grouping:
          if norm in self.id2rep:
              return self.id2rep[norm]
          logger.warning("id:#%s#, norm:#%s# is not in id2rep")
          return ""
      return norm
  
file_path: nlp-architect/solutions/set_expansion/set_expand.py
imports: import logging
  import sys
  from argparse import ArgumentParser
  from os import path
  from nlp_architect.models.np2vec import NP2vec
  from nlp_architect.utils.io import validate_existing_filepath, check_size, load_json_file
label_desc: Use image node_id 3 for calling the SetExpand obj's underlying member method code with example usage: obj.__id2term(id) and returns: norm, str, self