class_docstr: Base model to run the test
class_docstr_tok: ["Base","model","to","run","the","test"]
code: def _predict(self, data):
      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 4 for calling the BaseModel obj's underlying member method code with example usage: obj._predict(data) without return types