python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking Class Reference

Inheritance diagram for python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking:

Public Member Functions
	__init__ (self)
	update (self, grid, alphas, gpi, params, *args, **kws)
Public Member Functions inherited from python.uq.refinement.RefinementStrategy.Ranking
	getKnowledgeType (self)
	rank (self, grid, gp, alphas, params, t=0, *args, **kws)

Additional Inherited Members
Protected Attributes inherited from python.uq.refinement.RefinementStrategy.Ranking
	_dtype
	_ranking

Constructor & Destructor Documentation

__init__()

python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking.__init__

(

self

)

Reimplemented from python.uq.refinement.RefinementStrategy.Ranking.

References python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking.__init__().

Referenced by python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking.__init__().

Member Function Documentation

update()

python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking.update	(		self,
			grid,
			alphas,
			gpi,
			params,
		*	args,
		**	kws
	)

Reimplemented from python.uq.refinement.RefinementStrategy.Ranking.

Referenced by python.uq.refinement.RefinementStrategy.Ranking.rank(), and python.learner.LearnedKnowledge.LearnedKnowledge.setMemento().

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The documentation for this class was generated from the following file:

• datadriven/python/uq/refinement/RefinementStrategy.py