code: def new_model(self, scenario):
          
          assert isinstance(scenario, scenarios.Scenario)
          return ClassifierSet(self, scenario.get_possible_actions())
docs: Create and return a new classifier set initialized for handling
          the given scenario.
  
          Usage:
              scenario = MUXProblem()
              model = algorithm.new_model(scenario)
              model.run(scenario, learn=True)
  
          Arguments:
              scenario: A Scenario instance.
          Return:
              A new, untrained classifier set, suited for the given scenario.