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Public Member Functions | Public Attributes | Protected Attributes | List of all members
python.uq.refinement.RefinementStrategy.WeightedL2OptRanking Class Reference
Inheritance diagram for python.uq.refinement.RefinementStrategy.WeightedL2OptRanking:
python.uq.refinement.RefinementStrategy.Ranking

Public Member Functions

 __init__ (self)
 
 update (self, grid, v, 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)
 

Public Attributes

 D
 
 initialized
 
 vol
 
 W
 

Protected Attributes

 _estimationStrategy
 
- Protected Attributes inherited from python.uq.refinement.RefinementStrategy.Ranking
 _dtype
 
 _ranking
 

Constructor & Destructor Documentation

◆ __init__()

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.__init__ (   self)

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

References python.controller.InfoToScreenRegressor.InfoToScreenRegressor.__class__, python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.__class__, python.uq.estimators.MarginalAnalyticEstimationStrategy.MarginalAnalyticEstimationStrategy.__class__, python.uq.estimators.MarginalIntegralStrategy.MarginalIntegralStrategy.__class__, python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder.__class__, python.uq.learner.Regressor.Regressor.__class__, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification.__class__, python.uq.quadrature.bilinearform.DiscreteBilinearScipyQuadratureStrategy.DiscreteBilinearScipyQuadratureStrategy.__class__, python.uq.quadrature.bilinearform.PiecewiseConstantQuadratureStrategy.PiecewiseConstantQuadratureStrategy.__class__, python.uq.quadrature.bilinearform.SparseGridQuadratureStrategy.SparseGridQuadratureStrategy.__class__, python.uq.quadrature.bilinearform.UniformQuadratureStrategy.UniformQuadratureStrategy.__class__, python.uq.refinement.RefinementStrategy.AnchoredWeightedL2OptRanking.__class__, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.__class__, python.uq.refinement.RefinementStrategy.AnchoredExpectationValueOptRanking.__class__, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.__class__, python.uq.refinement.RefinementStrategy.VarianceOptRanking.__class__, python.uq.refinement.RefinementStrategy.AnchoredVarianceOptRanking.__class__, python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking.__class__, python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking.__class__, python.uq.refinement.RefinementStrategy.SquaredSurplusBFRanking.__class__, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.__class__, python.uq.refinement.RefinementStrategy.VarianceBFRanking.__class__, python.uq.refinement.RefinementStrategy.ExpectationValueBFRanking.__class__, python.uq.refinement.RefinementStrategy.LinearSurplusEstimationRanking.__class__, python.uq.refinement.RefinementStrategy.PredictiveRanking.__class__, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.__class__, python.uq.sampler.MCSampler.MCSampler.__class__, and python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.__init__().

Referenced by python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.__init__().

Member Function Documentation

◆ update()

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update (   self,
  grid,
  v,
  gpi,
  params,
*  args,
**  kws 
) 
Compute ranking for variance estimation

\argmax_{i \in \A} |v_i| \sqrt{E[\varphi_i^2]}

@param grid: Grid grid
@param v: numpy array coefficients

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

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking._estimationStrategy, sgpp::base::OCLBufferWrapperSD< int >.initialized, sgpp::base::OCLBufferWrapperSD< T >.initialized, sgpp::base::OCLBufferWrapperSD< real_type >.initialized, sgpp::base::OCLClonedBuffer.initialized, sgpp::base::OCLClonedBufferMultiPlatform.initialized, sgpp::base::OCLStretchedBuffer.initialized, sgpp::base::OCLStretchedBufferMultiPlatform.initialized, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.initialized, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.initialized, python.uq.refinement.RefinementStrategy.VarianceOptRanking.initialized, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.initialized, sgpp::datadriven::LearnerScenario.initialized, and sgpp::datadriven::clusteringmpi::MPIEnviroment.initialized.

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

Member Data Documentation

◆ _estimationStrategy

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy
protected

Referenced by python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_var_phii(), python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update(), python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.update(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.update(), and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update().

◆ D

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D

Referenced by python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_var_phii(), and python.uq.operations.natafTransformation.NatafTransformation.trans_U_to_Z().

◆ initialized

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.initialized

Referenced by python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update(), python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.update(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.update(), and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update().

◆ vol

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.vol

◆ W

python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.W

Referenced by python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi(), and python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_var_phii().

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