class_docstr: An initialiser class. 
class_docstr_tok: ["An","initialiser","class","."]
docstr: Constructor. 
docstr_tok: ["Constructor","."]
code: def __init__(
      self,
      func_caller,
      worker_manager,
      get_initial_qinfos=None,
      initialisation_capital=None,
      options=None,
      reporter=None,
  ):
      """Constructor."""
      options = load_options(blackbox_opt_args, partial_options=options)
      super(OptInitialiser, self).__init__(
          func_caller,
          worker_manager,
          model=None,
          options=options,
          reporter=reporter,
      )
      self.options.max_num_steps = 0
      self.options.get_initial_qinfos = get_initial_qinfos
      self.options.init_capital = initialisation_capital
  
imports: from __future__ import division
  from argparse import Namespace
  import numpy
  from ..exd.exd_core import ExperimentDesigner, exd_core_args
  from ..utils.option_handler import load_options
label_desc: Use image node_id 1 to create a new OptInitialiser object from inherited base classes: BlackboxOptimiser with example: obj = OptInitialiser(func_caller, worker_manager, get_initial_qinfos, initialisation_capital, options, reporter)