class_docstr: Same as the GA optimiser, but the candidates to mutate from are picked randomly.
  This is used in the RAND baseline.
class_docstr_tok: ["Same","as","the","GA","optimiser",",","but","the","candidates","to","mutate","from","are","picked","randomly",".","This","is","used","in","the","RAND","baseline","."]
docstr: Additional set up. 
docstr_tok: ["Additional","set","up","."]
code: def _child_set_up(self):
      """Additional set up."""
      super(GARandOptimiser, self)._child_set_up()
      self.method_name = "randGA"
  
imports: from argparse import Namespace
  from numpy.random import choice
  from .blackbox_optimiser import BlackboxOptimiser, blackbox_opt_args
  from ..utils.general_utils import sample_according_to_exp_probs
  from ..utils.option_handler import get_option_specs, load_options
label_desc: Use image node_id 1 for calling the GARandOptimiser obj's underlying member method code with example usage: obj._child_set_up() without return types