class_docstr: Unit-tests for random multi-objective optimisation. 
docstr: Runs multi-objective optimiser. 
docstr_tok: ["Runs","multi-objective","optimiser","."]
code: def run_optimiser(
      cls,
      multi_func_caller,
      worker_manager,
      max_capital,
      mode,
      *args,
      **kwargs,
  ):
      """Runs multi-objective optimiser."""
      return multiobjective_gp_bandit.multiobjective_gpb_from_multi_func_caller(
          multi_func_caller,
          worker_manager,
          max_capital,
          is_mf=False,
          mode=mode,
          *args,
          **kwargs,
      )
  
file_path: dragonfly/dragonfly/opt/unittest_euclidean_multiobjective_gp_bandit.py
imports: import unittest
  from .None import multiobjective_gp_bandit
  from .unittest_euclidean_random_multiobjective_optimiser import EuclideanMultiObjectiveOptimiserBaseTestCase
  from ..utils.base_test_class import BaseTestClass, execute_tests
label_desc: Use image node_id 2 for calling the EuclideanRandomMultiObjectiveOptimiserTestCase obj's underlying member method code with example usage: obj.run_optimiser(cls, multi_func_caller, worker_manager, max_capital, mode) and returns: multiobjective_gp_bandit