docstr: Produce a filtered version of `parameters` that does not include values that should be
  ignored during hashing
  
  Parameters
  ----------
  parameters: Dict
      The full dictionary of initial parameters to be filtered
  
  Returns
  -------
  parameters: Dict
      The filtered version of the given `parameters`
docstr_tok: ["Produce","a","filtered","version","of","`","parameters","`","that","does","not","include","values","that","should","be","ignored","during","hashing","Parameters","--","--","--","--","--","parameters",":","Dict","The","full","dictionary","of","initial","parameters","to","be","filtered","Returns","--","--","--","-","parameters",":","Dict","The","filtered","version","of","the","given","`","parameters","`"]
code: def _filter_parameters_to_hash(parameters):
      """Produce a filtered version of `parameters` that does not include values that should be
      ignored during hashing
  
      Parameters
      ----------
      parameters: Dict
          The full dictionary of initial parameters to be filtered
  
      Returns
      -------
      parameters: Dict
          The filtered version of the given `parameters`"""
      return parameters
  
imports: from hyperparameter_hunter.feature_engineering import FeatureEngineer, EngineerStep
  from hyperparameter_hunter.i_o.exceptions import EnvironmentInvalidError, EnvironmentInactiveError
  from hyperparameter_hunter.keys.hashing import make_hash_sha256
  from hyperparameter_hunter.compat.keras_helper import keras_callback_to_dict, keras_initializer_to_dict, parameterize_compiled_keras_model
  from hyperparameter_hunter.compat.keras_optimization_helper import initialize_dummy_model
  from hyperparameter_hunter.metrics import Metric
  from hyperparameter_hunter.sentinels import Sentinel
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.file_utils import write_json, read_json, add_to_json, make_dirs
  from hyperparameter_hunter.utils.file_utils import RetryMakeDirs
  from hyperparameter_hunter.utils.general_utils import subdict
  from hyperparameter_hunter.utils.boltons_utils import remap, default_enter
  from abc import ABCMeta, abstractmethod
  from copy import deepcopy
  from functools import partial
  from inspect import isclass, getsource
  from os import listdir
  import os.path
  import pandas
  import shelve
label_desc: Use image node_id 10 for calling the KeyMaker obj's underlying member method code with example usage: obj._filter_parameters_to_hash(parameters) and returns: parameters