class_docstr: Deserialize JSON data from an inference endpoint into a Python object.
class_docstr_tok: ["Deserialize","JSON","data","from","an","inference","endpoint","into","a","Python","object","."]
docstr: Initialize a ``JSONDeserializer`` instance.
  
  Args:
      accept (union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that
          is expected from the inference endpoint (default: "application/json").
docstr_tok: ["Initialize","a","``","JSONDeserializer","``","instance",".","Args",":","accept","(","union","[","str",",","tuple","[","str","]","]",")",":","The","MIME","type","(","or","tuple","of","allowable","MIME","types",")","that","is","expected","from","the","inference","endpoint","(","default",":","``","application\/json","''",")","."]
code: def __init__(self, accept="application/json"):
      """Initialize a ``JSONDeserializer`` instance.
  
      Args:
          accept (union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that
              is expected from the inference endpoint (default: "application/json").
      """
      super(JSONDeserializer, self).__init__(accept=accept)
  
imports: from __future__ import absolute_import
  import csv
  import abc
  import codecs
  import io
  import json
  import numpy
  from six import with_metaclass
  from sagemaker.utils import DeferredError
label_desc: Use image node_id 1 to create a new JSONDeserializer object from inherited base classes: SimpleBaseDeserializer with example: obj = JSONDeserializer(accept)