(self, iteration, iteration_kwargs={})
return(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s-1):], config_sampler=self.config_generator.get_config, **iteration_kwargs))
Hyperband uses SuccessiveHalving for each iteration.
		See Li et al. (2016) for reference.
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated

		Returns
		-------
			SuccessiveHalving: the SuccessiveHalving iteration with the
				corresponding number of configurations
Hyperband uses SuccessiveHalving for each iteration.
		See Li et al. (2016) for reference.
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated
Hyperband uses SuccessiveHalving for each iteration . See Li et al . ( 2016 ) for reference . Parameters ---------- iteration : int the index of the iteration to be instantiated
def get_next_iteration(self, iteration, iteration_kwargs={}):
		"""
		Hyperband uses SuccessiveHalving for each iteration.
		See Li et al. (2016) for reference.
		
		Parameters
		----------
			iteration: int
				the index of the iteration to be instantiated

		Returns
		-------
			SuccessiveHalving: the SuccessiveHalving iteration with the
				corresponding number of configurations
		"""
		
		# number of 'SH rungs'
		s = self.max_SH_iter - 1 - (iteration%self.max_SH_iter)
		# number of configurations in that bracket
		n0 = int(np.floor((self.max_SH_iter)/(s+1)) * self.eta**s)
		ns = [max(int(n0*(self.eta**(-i))), 1) for i in range(s+1)]

		return(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=self.budgets[(-s-1):], config_sampler=self.config_generator.get_config, **iteration_kwargs))
def get_next_iteration ( self , iteration , iteration_kwargs = { } ) : # number of 'SH rungs' s = self . max_SH_iter - 1 - ( iteration % self . max_SH_iter ) # number of configurations in that bracket n0 = int ( np . floor ( ( self . max_SH_iter ) / ( s + 1 ) ) * self . eta ** s ) ns = [ max ( int ( n0 * ( self . eta ** ( - i ) ) ) , 1 ) for i in range ( s + 1 ) ] return ( SuccessiveHalving ( HPB_iter = iteration , num_configs = ns , budgets = self . budgets [ ( - s - 1 ) : ] , config_sampler = self . config_generator . get_config , * * iteration_kwargs ) )