(self, iteration, iteration_kwargs={})
return(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=budgets, config_sampler=self.config_generator.get_config, **iteration_kwargs))
Returns a SH iteration with only evaluations on the biggest budget
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated

		Returns
		-------
			SuccessiveHalving: the SuccessiveHalving iteration with the
				corresponding number of configurations
Returns a SH iteration with only evaluations on the biggest budget
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated
Returns a SH iteration with only evaluations on the biggest budget Parameters ---------- iteration : int the index of the iteration to be instantiated
def get_next_iteration(self, iteration, iteration_kwargs={}):
		"""
		Returns a SH iteration with only evaluations on the biggest budget
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated

		Returns
		-------
			SuccessiveHalving: the SuccessiveHalving iteration with the
				corresponding number of configurations
		"""
		
		
		budgets = [self.max_budget]
		ns = [self.budget_per_iteration//self.max_budget]
		
		return(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=budgets, config_sampler=self.config_generator.get_config, **iteration_kwargs))
def get_next_iteration ( self , iteration , iteration_kwargs = { } ) : budgets = [ self . max_budget ] ns = [ self . budget_per_iteration // self . max_budget ] return ( SuccessiveHalving ( HPB_iter = iteration , num_configs = ns , budgets = budgets , config_sampler = self . config_generator . get_config , * * iteration_kwargs ) )