code: def __init__(
      self,
      jvalue=None,
      learning_rate: float = 0.1,
      max_depth=7,
      min_child_size=1,
      server_model_path=None,
  ):
      self.bigdl_type = "float"
      super().__init__(
          jvalue,
          self.bigdl_type,
          learning_rate,
          max_depth,
          min_child_size,
          server_model_path,
      )
  
file_path: BigDL/python/ppml/src/bigdl/ppml/fl/algorithms/fgboost_regression.py
imports: from time import time
  from bigdl.dllib.utils.common import JavaValue
  from bigdl.ppml.fl.data_utils import *
  from bigdl.ppml.fl import *
  from bigdl.ppml.fl.fgboost.utils import add_data
  import logging
label_desc: Use image node_id 1 to create a new FGBoostRegression object from inherited base classes: FLClientClosable with example: obj = FGBoostRegression(jvalue, learning_rate, max_depth, min_child_size, server_model_path)