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: Calculates the reward (i.e. validation performance) produced by training with the given configuration.
docstr_tok: ["Calculates","the","reward","(","i.e",".","validation","performance",")","produced","by","training","with","the","given","configuration","."]
code: def get_reward(self, config):
      """Calculates the reward (i.e. validation performance) produced by training with the given configuration."""
      config_pkl = self._pickle_config(config=config)
      assert config_pkl in self._results
      return self._results[config_pkl]
  
imports: import logging
  import pickle
  from collections import OrderedDict
  from autogluon.common import space
label_desc: Use image node_id 9 for calling the LocalSearcher obj's underlying member method code with example usage: obj.get_reward(config) and returns: self