class_docstr: Sample parameters search space
  
  With given probability ``probability``, it will sample a new set of parameters
  from the search space totally independently of the ``parameters`` passed to ``__call__``.
  Otherwise, it will return the passed ``parameters``.
  
  Parameters
  ----------
  probability: float, optional
      Probability of sampling a new set of parameters. Default: 0.2
docstr: Configuration of the exploit object
docstr_tok: ["Configuration","of","the","exploit","object"]
code: def configuration(self):
      """Configuration of the exploit object"""
      configuration = super().configuration
      configuration["probability"] = self.probability
      return configuration
  
imports: import numpy
  from orion.core.utils import GenericFactory
  from orion.core.utils.flatten import flatten, unflatten
label_desc: Use image node_id 3 for calling the ResampleExplore obj's underlying member method code with example usage: obj.configuration() and returns: configuration