code: def clean_parameter_names(parameter_names: list) -> List[str]:
      """Remove unnecessary prefixes or characters from the names of search space dimensions
  
      Parameters
      ----------
      parameter_names: List
          Names of the dimensions in a hyperparameter search `Space` object. Values are usually tuples
  
      Returns
      -------
      names: List[str]
          Cleaned `parameter_names`, containing stringified values to facilitate logging
      """
      original_parameter_names = parameter_names.copy()
      skip = (
          "model_init_params",
          "model_extra_params",
          "feature_engineer",
          "feature_selector",
      )
      names = [
          _[1:] if _[0] in skip else _ for _ in original_parameter_names
      ]
      names = [
          _[1:] if _[0] == "params" else _ for _ in names
      ]  # This is for Keras
      names = [
          _[0]
          if len(_) == 1
          else str(_).replace("'", "").replace('"', "")
          for _ in names
      ]
      # If a value in `names` is a 1-tuple, its single item is returned
      # If a tuple with multiple items, the tuple is stringified, and quotation marks are removed
      return names
  
imports: from hyperparameter_hunter.i_o import exceptions
  from hyperparameter_hunter.space.dimensions import Categorical
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.general_utils import now_time, expand_mins_secs
  from contextlib import suppress
  from datetime import datetime
  import inspect
  import logging
  import os.path
  import sys
  from typing import List
label_desc: Use image node_id 1 for calling a global function with example usage: clean_parameter_names(parameter_names) and returns: names