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def | __init__ (self) |
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def | getKnowledgeType (self) |
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def | rank (self, grid, gp, alphas, params, t=0, args, kws) |
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def | update (self, grid, v, gpi, params) |
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◆ __init__()
def python.uq.refinement.RefinementStrategy.Ranking.__init__ |
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References python.uq.refinement.RefinementStrategy.Ranking._dtype, and python.uq.refinement.RefinementStrategy.Ranking._ranking.
◆ getKnowledgeType()
def python.uq.refinement.RefinementStrategy.Ranking.getKnowledgeType |
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References python.uq.refinement.RefinementStrategy.Ranking._dtype.
◆ rank()
def python.uq.refinement.RefinementStrategy.Ranking.rank |
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self, |
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grid, |
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gp, |
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alphas, |
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params, |
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t = 0 , |
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args, |
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kws |
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References python.uq.refinement.RefinementStrategy.Ranking._ranking, python.uq.refinement.RefinementStrategy.Ranking.update(), python.uq.refinement.AdmissibleSet.AdmissibleSetGenerator.update(), sgpp::base::ScreenOutput.update(), python.learner.LearnedKnowledge.LearnedKnowledge.update(), python.uq.refinement.AdmissibleSet.RefinableNodesSet.update(), sgpp::base::LinearLoadBalancer.update(), python.uq.refinement.AdmissibleSet.AdmissibleSparseGridNodeSet.update(), sgpp::base::ForwardSelectorRefinementIndicator.update(), sgpp::base::LinearLoadBalancerMultiPlatform.update(), sgpp::base::ImpurityRefinementIndicator.update(), sgpp::combigrid::BinaryHeap< T, Comparator >.update(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.update(), and sgpp::base::HashGridStorage.update().
◆ update()
def python.uq.refinement.RefinementStrategy.Ranking.update |
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self, |
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grid, |
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v, |
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gpi, |
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params |
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The documentation for this class was generated from the following file: