class_docstr: Manages distributed hyperparameter optimisation across many gpus.
class_docstr_tok: ["Manages","distributed","hyperparameter","optimisation","across","many","gpus","."]
docstr: Clears results for hyperparameter manager and resets.
docstr_tok: ["Clears","results","for","hyperparameter","manager","and","resets","."]
code: def clear(self):  # reset when cleared
      """Clears results for hyperparameter manager and resets."""
      super().clear()
      self.worker_search_queue = self._get_worker_search_queue()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import shutil
  import libs.utils
  import numpy
  import pandas
label_desc: Use image node_id 7 for calling the DistributedHyperparamOptManager obj's underlying member method code with example usage: obj.clear() without return types