class_docstr: Args:
      SparkSession (SparkSession): The SparkSession that will be used to find the model
      location (str): The location of the model, either on local or HDFS
class_docstr_tok: ["Args",":","SparkSession","(","SparkSession",")",":","The","SparkSession","that","will","be","used","to","find","the","model","location","(","str",")",":","The","location","of","the","model",",","either","on","local","or","HDFS"]
code: def __parse_node_info(self, node_info: JavaObject) -> "NodeInfo":
      name = node_info.getName()
      value_info = node_info.getInfo()
      return NodeInfo(name, value_info)
  
imports: from abc import ABCMeta
  import sys
  from typing import Mapping, List
  from py4j import java_gateway
  from synapse.ml.onnx._ONNXModel import _ONNXModel
  from pyspark.ml.common import inherit_doc
  from py4j.java_gateway import JavaObject
label_desc: Use image node_id 3 for calling the ONNXModel obj's underlying member method code with example usage: obj.__parse_node_info(node_info) and returns: NodeInfo