docstr: :param space_name: NB101 or NB201, MLP
  :param dataset_name: NB101 or NB201, MLP
docstr_tok: [":","param","space_name",":","NB101","or","NB201",",","MLP",":","param","dataset_name",":","NB101","or","NB201",",","MLP"]
code: def __init__(self, space_name: str, dataset_name: str):
      """
      :param space_name: NB101 or NB201, MLP
      :param dataset_name: NB101 or NB201, MLP
      """
      self.space_name = space_name
      if self.space_name == Config.MLPSP:
          self.api = GTMLP(dataset_name)
      else:
          self.api = ImgScoreQueryApi(self.space_name, dataset_name)
  
file_path: singa/examples/model_selection/TRAILS-Database-Native-Model-Selection/internal/ml/model_selection/src/query_api/interface.py
imports: from src.common.constant import Config, CommonVars
  from src.query_api.query_api_img import Gt201, Gt101
  from src.query_api.query_api_mlp import GTMLP
  from src.query_api.query_api_img import ImgScoreQueryApi
  from typing import *
label_desc: Use image node_id 1 to create a new SimulateScore object  with example: obj = SimulateScore(space_name, dataset_name)