class_docstr: Facade to use model-free Hyperband [LJDR18]_ for algorithm configuration.
  
  Uses Random Aggressive Online Racing (ROAR) to compare configurations, a random
  initial design and the Hyperband intensifier.
docstr: Returns a Hyperband intensifier instance. Budgets are supported.
  
  eta : int, defaults to 3
      Input that controls the proportion of configurations discarded in each round of Successive Halving.
  n_seeds : int, defaults to 1
      How many seeds to use for each instance.
  instance_seed_order : str, defaults to "shuffle_once"
      How to order the instance-seed pairs. Can be set to:
      * None: No shuffling at all and use the instance-seed order provided by the user.
      * "shuffle_once": Shuffle the instance-seed keys once and use the same order across all runs.
      * "shuffle": Shuffle the instance-seed keys for each bracket individually.
  incumbent_selection : str, defaults to "any_budget"
      How to select the incumbent when using budgets. Can be set to:
      * "any_budget": Incumbent is the best on any budget i.e., best performance regardless of budget.
      * "highest_observed_budget": Incumbent is the best in the highest budget run so far.
      * "highest_budget": Incumbent is selected only based on the highest budget.
  max_incumbents : int, defaults to 10
      How many incumbents to keep track of in the case of multi-objective.
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code: def get_intensifier(  # type: ignore
      scenario: Scenario,
      *,
      eta: int = 3,
      n_seeds: int = 1,
      instance_seed_order: str | None = "shuffle_once",
      max_incumbents: int = 10,
      incumbent_selection: str = "highest_observed_budget",
  ) -> Hyperband:
      """Returns a Hyperband intensifier instance. Budgets are supported.
  
      eta : int, defaults to 3
          Input that controls the proportion of configurations discarded in each round of Successive Halving.
      n_seeds : int, defaults to 1
          How many seeds to use for each instance.
      instance_seed_order : str, defaults to "shuffle_once"
          How to order the instance-seed pairs. Can be set to:
          * None: No shuffling at all and use the instance-seed order provided by the user.
          * "shuffle_once": Shuffle the instance-seed keys once and use the same order across all runs.
          * "shuffle": Shuffle the instance-seed keys for each bracket individually.
      incumbent_selection : str, defaults to "any_budget"
          How to select the incumbent when using budgets. Can be set to:
          * "any_budget": Incumbent is the best on any budget i.e., best performance regardless of budget.
          * "highest_observed_budget": Incumbent is the best in the highest budget run so far.
          * "highest_budget": Incumbent is selected only based on the highest budget.
      max_incumbents : int, defaults to 10
          How many incumbents to keep track of in the case of multi-objective.
      """
      return Hyperband(
          scenario=scenario,
          eta=eta,
          n_seeds=n_seeds,
          instance_seed_order=instance_seed_order,
          max_incumbents=max_incumbents,
          incumbent_selection=incumbent_selection,
      )
  
imports: from __future__ import annotations
  from smac.facade.random_facade import RandomFacade
  from smac.intensifier.hyperband import Hyperband
  from smac.scenario import Scenario
label_desc: Use image node_id 1 for calling the HyperbandFacade obj's underlying member method code with example usage: obj.get_intensifier(scenario) and returns: Hyperband