class_docstr: Base model to run the test
class_docstr_tok: ["Base","model","to","run","the","test"]
code: def __init__(self):
      self.max_depth = 6
      self.learning_rate = 1
      self.min_split_loss = 1
      self.min_weight = 1
      self.L1_reg = 1
      self.L2_reg = 1
      self.num_rounds = 40
      self.max_bin = 255
      self.use_gpu = True
      self.params = {}
  
      self.model = None
  
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 1 to create a new BaseModel object from inherited base classes: object with example: obj = BaseModel()