class_docstr: Used to store inference request/response latency to perform endpoint load testing.
  
  Required for an Advanced Inference Recommendations Job
class_docstr_tok: ["Used","to","store","inference","request\/response","latency","to","perform","endpoint","load","testing",".","Required","for","an","Advanced","Inference","Recommendations","Job"]
docstr: Initialize a `ModelLatencyThreshold`
docstr_tok: ["Initialize","a","`","ModelLatencyThreshold","`"]
code: def __init__(self, percentile: str, value_in_milliseconds: int):
      """Initialize a `ModelLatencyThreshold`"""
      self.to_json = {
          "Percentile": percentile,
          "ValueInMilliseconds": value_in_milliseconds,
      }
  
imports: from __future__ import absolute_import
  import logging
  import re
  from typing import List, Dict, Optional
  import sagemaker
  from sagemaker.parameter import CategoricalParameter
label_desc: Use image node_id 1 to create a new ModelLatencyThreshold object  with example: obj = ModelLatencyThreshold(percentile, value_in_milliseconds)