class_docstr: A Minin object to add hpo related methods to models.
  
  It is used to add hpo related search methods onto
  tf.keras.Sequential, tf.keras.Model, as well as custom
      model subclassing from tf.keras.Model.
class_docstr_tok: ["A","Minin","object","to","add","hpo","related","methods","to","models",".","It","is","used","to","add","hpo","related","search","methods","onto","tf.keras.Sequential",",","tf.keras.Model",",","as","well","as","custom","model","subclassing","from","tf.keras.Model","."]
docstr: Retrive a summary of trials.
  
  :return: A summary of all the trials. Currently the entire study is
      returned to allow more flexibility for further analysis and visualization.
docstr_tok: ["Retrive","a","summary","of","trials",".",":","return",":","A","summary","of","all","the","trials",".","Currently","the","entire","study","is","returned","to","allow","more","flexibility","for","further","analysis","and","visualization","."]
code: def search_summary(self):
      """
      Retrive a summary of trials.
  
      :return: A summary of all the trials. Currently the entire study is
          returned to allow more flexibility for further analysis and visualization.
      """
      return _search_summary(self.study)
  
imports: import copy
  import warnings
  from .objective import Objective
  from bigdl.nano.automl.hpo.backend import create_hpo_backend
  from bigdl.nano.automl.hpo.search import _search_summary, _end_search, _create_study, _validate_args, _strip_val_prefix, _prepare_args
  from bigdl.nano.automl.hpo.space import AutoObject
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.automl.utils.parallel import run_parallel
  import math
label_desc: Use image node_id 12 for calling the HPOMixin obj's underlying member method code with example usage: obj.search_summary() and returns: _search_summary