class_docstr: A base class for hyperparameter fit reporters
  
  Arguments
  ---------
  objective_key: str
      the key from the result dictionary to be used as the objective
docstr: Reports the objective for hyperparameter optimization.
  
  Arguments
  ---------
  result: dict
      a dictionary with the run result.
docstr_tok: ["Reports","the","objective","for","hyperparameter","optimization",".","Arguments","--","--","--","--","-","result",":","dict","a","dictionary","with","the","run","result","."]
code: def report_objective(self, result):
      """Reports the objective for hyperparameter optimization.
  
      Arguments
      ---------
      result: dict
          a dictionary with the run result.
      """
      return NotImplemented
  
imports: import importlib
  import logging
  import json
  import os
  import speechbrain
  import sys
  from datetime import datetime
  from hyperpyyaml import load_hyperpyyaml
label_desc: Use image node_id 2 for calling the HyperparameterOptimizationReporter obj's underlying member method code with example usage: obj.report_objective(result) and returns: NotImplemented