code: def evaluate(self, x, y=None, batchsize=4, **kargs):
      x, y = convert_to_jtensor(x, y, **kargs)
      return callBigDlFunc(
          self.bigdl_type, "fgBoostEvaluate", self.value, x, y
      )
  
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 3 for calling the FGBoostRegression obj's underlying member method code with example usage: obj.evaluate(x, y, batchsize) and returns: callBigDlFunc