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Public Member Functions | Protected Attributes | List of all members
python.uq.refinement.RefinementStrategy.Ranking Class Reference
Inheritance diagram for python.uq.refinement.RefinementStrategy.Ranking:
python.uq.refinement.RefinementStrategy.AnchoredExpectationValueOptRanking python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking python.uq.refinement.RefinementStrategy.AnchoredVarianceOptRanking python.uq.refinement.RefinementStrategy.AnchoredWeightedL2OptRanking python.uq.refinement.RefinementStrategy.ExpectationValueBFRanking python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking python.uq.refinement.RefinementStrategy.LinearSurplusEstimationRanking python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking python.uq.refinement.RefinementStrategy.PredictiveRanking python.uq.refinement.RefinementStrategy.SquaredSurplusBFRanking python.uq.refinement.RefinementStrategy.SquaredSurplusRanking python.uq.refinement.RefinementStrategy.SurplusRanking python.uq.refinement.RefinementStrategy.SurplusRatioEstimationRanking python.uq.refinement.RefinementStrategy.SurplusRatioRanking python.uq.refinement.RefinementStrategy.VarianceBFRanking python.uq.refinement.RefinementStrategy.VarianceOptRanking python.uq.refinement.RefinementStrategy.WeightedL2BFRanking python.uq.refinement.RefinementStrategy.WeightedL2OptRanking python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking python.uq.refinement.RefinementStrategy.WeightedSurplusRanking

Public Member Functions

 __init__ (self)
 
 getKnowledgeType (self)
 
 rank (self, grid, gp, alphas, params, t=0, *args, **kws)
 
 update (self, grid, v, gpi, params)
 

Protected Attributes

 _dtype
 
 _ranking
 

Constructor & Destructor Documentation

◆ __init__()

python.uq.refinement.RefinementStrategy.Ranking.__init__ (   self)

Reimplemented in python.uq.refinement.RefinementStrategy.SurplusRanking, python.uq.refinement.RefinementStrategy.WeightedSurplusRanking, python.uq.refinement.RefinementStrategy.SquaredSurplusRanking, python.uq.refinement.RefinementStrategy.SurplusRatioRanking, python.uq.refinement.RefinementStrategy.AnchoredWeightedL2OptRanking, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking, python.uq.refinement.RefinementStrategy.AnchoredExpectationValueOptRanking, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking, python.uq.refinement.RefinementStrategy.VarianceOptRanking, python.uq.refinement.RefinementStrategy.AnchoredVarianceOptRanking, python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking, python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking, python.uq.refinement.RefinementStrategy.SquaredSurplusBFRanking, python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking, python.uq.refinement.RefinementStrategy.ExpectationValueBFRanking, python.uq.refinement.RefinementStrategy.SurplusRatioEstimationRanking, python.uq.refinement.RefinementStrategy.LinearSurplusEstimationRanking, python.uq.refinement.RefinementStrategy.PredictiveRanking, and python.uq.refinement.RefinementStrategy.VarianceBFRanking.

Member Function Documentation

◆ getKnowledgeType()

python.uq.refinement.RefinementStrategy.Ranking.getKnowledgeType (   self)

References python.uq.refinement.RefinementStrategy.Ranking._dtype, python.uq.refinement.RefinementStrategy.SquaredSurplusRanking._dtype, python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking._dtype, python.uq.refinement.RefinementStrategy.SquaredSurplusBFRanking._dtype, and python.uq.sampler.Sample.Samples._dtype.

◆ rank()

python.uq.refinement.RefinementStrategy.Ranking.rank (   self,
  grid,
  gp,
  alphas,
  params,
  t = 0,
*  args,
**  kws 
)

Reimplemented in python.uq.refinement.RefinementStrategy.SurplusRatioRanking, python.uq.refinement.RefinementStrategy.PredictiveRanking, python.uq.refinement.RefinementStrategy.SquaredSurplusBFRanking, python.uq.refinement.RefinementStrategy.VarianceBFRanking, python.uq.refinement.RefinementStrategy.ExpectationValueBFRanking, python.uq.refinement.RefinementStrategy.SurplusRatioEstimationRanking, and python.uq.refinement.RefinementStrategy.LinearSurplusEstimationRanking.

References python.uq.refinement.RefinementStrategy.Ranking._ranking, python.uq.refinement.RefinementStrategy.VarianceBFRanking._ranking, sgpp::datadriven::ModelFittingDensityDifferenceEstimationCG.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationCG.update(), sgpp::datadriven::ModelFittingDensityEstimationCombi.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOffParallel.update(), sgpp::datadriven::ModelFittingDensityEstimation.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationCG.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationCG.update(), sgpp::datadriven::ModelFittingDensityEstimationCombi.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOffParallel.update(), sgpp::datadriven::ModelFittingDensityEstimation.update(), sgpp::datadriven::ModelFittingDensityRatioEstimation.update(), sgpp::datadriven::ModelFittingLeastSquares.update(), sgpp::datadriven::ModelFittingClassification.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationCG.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationCG.update(), sgpp::datadriven::ModelFittingDensityEstimationCombi.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOffParallel.update(), sgpp::datadriven::ModelFittingLeastSquares.update(), sgpp::datadriven::ModelFittingDensityEstimation.update(), sgpp::datadriven::ModelFittingBase.update(), sgpp::datadriven::ModelFittingClassification.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationCG.update(), sgpp::datadriven::ModelFittingDensityDifferenceEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationCG.update(), sgpp::datadriven::ModelFittingDensityEstimationCombi.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOff.update(), sgpp::datadriven::ModelFittingDensityEstimationOnOffParallel.update(), sgpp::datadriven::ModelFittingDensityRatioEstimation.update(), sgpp::datadriven::ModelFittingDensityEstimation.update(), sgpp::datadriven::ModelFittingBase.update(), sgpp::base::LinearLoadBalancer.update(), sgpp::base::ForwardSelectorRefinementIndicator.update(), sgpp::base::ImpurityRefinementIndicator.update(), sgpp::base::HashGridStorage.update(), python.learner.LearnedKnowledge.LearnedKnowledge.update(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.update(), python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking.update(), python.uq.refinement.AdmissibleSet.RefinableNodesSet.update(), python.uq.refinement.AdmissibleSet.AdmissibleSparseGridNodeSet.update(), python.uq.refinement.AdmissibleSet.AdmissibleSetGenerator.update(), python.uq.refinement.RefinementStrategy.VarianceBFRanking.update(), python.uq.refinement.RefinementStrategy.SurplusRanking.update(), python.uq.refinement.RefinementStrategy.SquaredSurplusRanking.update(), python.uq.refinement.RefinementStrategy.Ranking.update(), python.uq.refinement.RefinementStrategy.WeightedSurplusRanking.update(), python.uq.refinement.RefinementStrategy.AnchoredWeightedL2OptRanking.update(), python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update(), python.uq.refinement.RefinementStrategy.AnchoredExpectationValueOptRanking.update(), python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.update(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.update(), python.uq.refinement.RefinementStrategy.AnchoredVarianceOptRanking.update(), python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking.update(), python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking.update(), python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update(), sgpp::base::ScreenOutput.update(), and sgpp::base::LinearLoadBalancerMultiPlatform.update().

◆ update()

python.uq.refinement.RefinementStrategy.Ranking.update (   self,
  grid,
  v,
  gpi,
  params 
)

Reimplemented in python.uq.refinement.RefinementStrategy.WeightedSurplusBFRanking, python.uq.refinement.RefinementStrategy.VarianceBFRanking, python.uq.refinement.RefinementStrategy.SurplusRanking, python.uq.refinement.RefinementStrategy.SquaredSurplusRanking, python.uq.refinement.RefinementStrategy.WeightedSurplusRanking, python.uq.refinement.RefinementStrategy.AnchoredWeightedL2OptRanking, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking, python.uq.refinement.RefinementStrategy.AnchoredExpectationValueOptRanking, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking, python.uq.refinement.RefinementStrategy.VarianceOptRanking, python.uq.refinement.RefinementStrategy.AnchoredVarianceOptRanking, python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking, python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking, and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.

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

Member Data Documentation

◆ _dtype

python.uq.refinement.RefinementStrategy.Ranking._dtype
protected

Referenced by python.uq.sampler.Sample.Samples.__getitem__(), and python.uq.refinement.RefinementStrategy.Ranking.getKnowledgeType().

◆ _ranking

python.uq.refinement.RefinementStrategy.Ranking._ranking
protected

Referenced by python.uq.refinement.RefinementStrategy.VarianceBFRanking.rank(), python.uq.refinement.RefinementStrategy.Ranking.rank(), and python.uq.refinement.RefinementStrategy.VarianceBFRanking.update().

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