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 getModelOutputs(self) -> Mapping[str, NodeInfo]:
      self._transfer_params_to_java()
      mo = self._java_obj.modelOutputJava()
      return {
          name: self.__parse_node_info(info)
          for name, info in mo.items()
      }
  
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 5 for calling the ONNXModel obj's underlying member method code with example usage: obj.getModelOutputs() and returns: unknown