class_docstr: Class for optimisation based on Genetic algorithms. 
class_docstr_tok: ["Class","for","optimisation","based","on","Genetic","algorithms","."]
docstr: Additional set up. 
docstr_tok: ["Additional","set","up","."]
code: def _opt_method_set_up(self):
      """Additional set up."""
      # pylint: disable=attribute-defined-outside-init
      # Set up parameters for the mutations
      self.method_name = "GA"
      self.num_mutations_per_epoch = (
          self.options.num_mutations_per_epoch
      )
      self.num_candidates_to_mutate_from = (
          self.options.num_candidates_to_mutate_from
      )
  
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 2 for calling the GAOptimiser obj's underlying member method code with example usage: obj._opt_method_set_up() without return types