code: def load_model(cls, src):
      # the jvalue exists here so JVM constructor would not be called again
      # thus the parameters would remain the same as model loaded
      return cls(
          jvalue=callBigDlFunc("float", "fgBoostRegressionLoad", src)
      )
  
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 6 for calling the FGBoostRegression obj's underlying member method code with example usage: obj.load_model(cls, src) and returns: cls