class_docstr: Exploring the search space with a cost model
class_docstr_tok: ["Exploring","the","search","space","with","a","cost","model"]
code: def has_next(self):
      return len(self.visited) < self.num_all_configs
  
file_path: deepspeed/deepspeed/autotuning/tuner/model_based_tuner.py
imports: import hjson
  from ..constants import AUTOTUNING, AUTOTUNING_METRIC_PATH
  from .base_tuner import BaseTuner
  from .cost_model import XGBoostCostModel
  from .utils import *
  from ..utils import *
  import numbers
  from ..constants import AUTOTUNING_METRIC_LATENCY
label_desc: Use image node_id 4 for calling the ModelBasedTuner obj's underlying member method code with example usage: obj.has_next() and returns: unknown