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","."]
code: def _run_search_n_threads(self, isprune, n_threads=1):
      self.run_kwargs["n_jobs"] = n_threads
      self._run_search(isprune)
  
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 8 for calling the HPOMixin obj's underlying member method code with example usage: obj._run_search_n_threads(isprune, n_threads) without return types