code: def loadLightGBMRegressionModel(
      self, model_path, crypto_mode="plain_text", primary_key_name=""
  ):
      if isinstance(crypto_mode, CryptoMode):
          crypto_mode = crypto_mode.value
      java_model = callBigDLFunc(
          self.bigdl_type,
          "loadLightGBMRegressionModel",
          model_path,
          crypto_mode,
          primary_key_name,
      )
      return JavaParams._from_java(java_model)
  
imports: from bigdl.ppml.api import *
  from bigdl.ppml.utils.log4Error import *
  from enum import Enum
  from pyspark.sql import SparkSession
  from pyspark.ml.wrapper import JavaParams
label_desc: Use image node_id 8 for calling the PPMLContext obj's underlying member method code with example usage: obj.loadLightGBMRegressionModel(model_path, crypto_mode, primary_key_name) and returns: JavaParams