class_docstr: Base model to run the test
class_docstr_tok: ["Base","model","to","run","the","test"]
docstr: To config the model with different params
docstr_tok: ["To","config","the","model","with","different","params"]
code: def _config_model(self, data):
      """
      To config the model with different params
      """
      pass
  
file_path: thundergbm/python/benchmarks/model/base_model.py
imports: import numpy
  from sklearn.metrics import mean_squared_error, accuracy_score
label_desc: Use image node_id 2 for calling the BaseModel obj's underlying member method code with example usage: obj._config_model(data) without return types