class_docstr: Wrapper for the model in JVM
class_docstr_tok: ["Wrapper","for","the","model","in","JVM"]
code: def __init__(self, java_model: JavaObject):
      self._sc = SparkContext.getOrCreate()
      self._java_model = java_model
  
file_path: spark/python/pyspark/mllib/common.py
imports: from typing import Any, Callable, TYPE_CHECKING
  import py4j.protocol
  from py4j.protocol import Py4JJavaError
  from py4j.java_gateway import JavaObject
  from py4j.java_collections import JavaArray, JavaList
  import pyspark.context
  from pyspark import RDD, SparkContext
  from pyspark.serializers import CPickleSerializer, AutoBatchedSerializer
  from pyspark.sql import DataFrame, SparkSession
label_desc: Use image node_id 1 to create a new JavaModelWrapper object  with example: obj = JavaModelWrapper(java_model)