class_docstr: An abstract HPOptimizer using for `advisor` package.
  See https://github.com/tobegit3hub/advisor for more information
  
  Attributes
  ----------
  method : .suggestion.AbstractSuggestionAlgorithm
      The algorithm class in `suggestion`
  max_evals : int
      The max rounds of evaluating HPs
  
  Methods
  -------
  optimize
      Optimize the HP by the method within give model and HP space
class_docstr_tok: ["An","abstract","HPOptimizer","using","for","`","advisor","`","package",".","See","https",":","\/\/github.com\/tobegit3hub\/advisor","for","more","information","Attributes","--","--","--","--","--","method",":",".suggestion.AbstractSuggestionAlgorithm","The","algorithm","class","in","`","suggestion","`","max_evals",":","int","The","max","rounds","of","evaluating","HPs","Methods","--","--","--","-","optimize","Optimize","the","HP","by","the","method","within","give","model","and","HP","space"]
docstr: See .base.BaseHPOptimizer._best_hp
docstr_tok: ["See",".base.BaseHPOptimizer._best_hp"]
code: def _best_hp(self):
      """
      See .base.BaseHPOptimizer._best_hp
      """
      if len(self.trials) == 0:
          return None, None
      best_perf = self.trials[self.best_id].objective_value
      decoded_json, _ = self._decode_para(
          json.loads(self.trials[self.best_id].parameter_values)
      )
      self.logger.info("Best Parameter:")
      print("best", self.best_trainer)
      self._print_info(decoded_json, best_perf)
      return self.best_trainer, best_perf
  
file_path: AutoGL/autogl/module/hpo/advisorbase.py
imports: import time
  import json
  import math
  from tqdm import trange
  from .suggestion.models import Study
  from .base import BaseHPOptimizer, TimeTooLimitedError
  from .suggestion.algorithm.random_search import RandomSearchAlgorithm
  from .suggestion.algorithm.mocmaes import MocmaesAlgorithm
label_desc: Use image node_id 5 for calling the AdvisorBaseHPOptimizer obj's underlying member method code with example usage: obj._best_hp() and returns: self,  best_perf, None,  None