class_docstr: Local Searcher (virtual class to inherit from if you are creating a custom Searcher).
  
  Parameters
  ----------
  search_space: dict
      The configuration space to sample from. It contains the full
      specification of the Hyperparameters with their priors
docstr: :param search_space: Configuration space to sample from or search in
  :param reward_attribute: Reward attribute passed to update.
      Default: 'reward'
docstr_tok: [":","param","search_space",":","Configuration","space","to","sample","from","or","search","in",":","param","reward_attribute",":","Reward","attribute","passed","to","update",".","Default",":","'reward","'"]
code: def __init__(
      self,
      search_space: dict,
      reward_attribute: str = "reward",
      **kwargs,
  ):
      """
      :param search_space: Configuration space to sample from or search in
      :param reward_attribute: Reward attribute passed to update.
          Default: 'reward'
  
      """
      self.search_space = search_space
      self._results = OrderedDict()
      self._reward_attribute = reward_attribute
      self._params_static = self._get_params_static()
      self._params_default = self._get_params_default(
          self._params_static
      )
      self._params_order = list(self._params_default.keys())
      self._params_cat_dict = self._get_params_cat_dict()
  
imports: import logging
  import pickle
  from collections import OrderedDict
  from autogluon.common import space
label_desc: Use image node_id 1 to create a new LocalSearcher object from inherited base classes: object with example: obj = LocalSearcher(search_space, reward_attribute)