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

Public Member Functions

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

Public Attributes

 f
 

Additional Inherited Members

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

Constructor & Destructor Documentation

◆ __init__()

python.uq.refinement.RefinementStrategy.PredictiveRanking.__init__ (   self,
  f 
)

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.PredictiveRanking.__init__().

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

Member Function Documentation

◆ rank()

python.uq.refinement.RefinementStrategy.PredictiveRanking.rank (   self,
  grid,
  gp,
  alphas,
*  args,
**  kws 
)

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

References sgpp::base::WrapperScalarFunction.f, sgpp::base::WrapperVectorFunction.f, python.uq.refinement.RefinementStrategy.PredictiveRanking.f, sgpp::datadriven::OperationMakePositive.f, sgpp::datadriven::OperationMakePositiveInterpolateFunction.f, sgpp::optimization::FuzzyExtensionPrinciple.f, sgpp::optimization::IterativeGridGenerator.f, sgpp::optimization::optimizer::PenalizedObjectiveFunction.f, sgpp::optimization::optimizer::UnconstrainedOptimizer.f, sgpp::optimization::test_problems::Floudas.f, sgpp::optimization::test_problems::G03.f, sgpp::optimization::test_problems::G04.f, sgpp::optimization::test_problems::G04Squared.f, sgpp::optimization::test_problems::G05.f, sgpp::optimization::test_problems::G06.f, sgpp::optimization::test_problems::G08.f, sgpp::optimization::test_problems::G09.f, sgpp::optimization::test_problems::G10.f, sgpp::optimization::test_problems::G11.f, sgpp::optimization::test_problems::G12.f, sgpp::optimization::test_problems::G13.f, sgpp::optimization::test_problems::Simionescu.f, sgpp::optimization::test_problems::Soland.f, sgpp::optimization::test_problems::AbsoluteValue.f, sgpp::optimization::test_problems::Ackley.f, sgpp::optimization::test_problems::Alpine02.f, sgpp::optimization::test_problems::Beale.f, sgpp::optimization::test_problems::Branin01.f, sgpp::optimization::test_problems::Branin02.f, sgpp::optimization::test_problems::BubbleWrap.f, sgpp::optimization::test_problems::EasomYang.f, sgpp::optimization::test_problems::Eggholder.f, sgpp::optimization::test_problems::GoldsteinPrice.f, sgpp::optimization::test_problems::Griewank.f, sgpp::optimization::test_problems::Hartman3.f, sgpp::optimization::test_problems::Hartman6.f, sgpp::optimization::test_problems::Himmelblau.f, sgpp::optimization::test_problems::HoelderTable.f, sgpp::optimization::test_problems::IncreasingPower.f, sgpp::optimization::test_problems::Michalewicz.f, sgpp::optimization::test_problems::Mladineo.f, sgpp::optimization::test_problems::Perm.f, sgpp::optimization::test_problems::Rastrigin.f, sgpp::optimization::test_problems::Rosenbrock.f, sgpp::optimization::test_problems::Schwefel06.f, sgpp::optimization::test_problems::Schwefel22.f, sgpp::optimization::test_problems::Schwefel26.f, sgpp::optimization::test_problems::SHCB.f, sgpp::optimization::test_problems::Sphere.f, and sgpp::optimization::test_problems::TremblingParabola.f.

Member Data Documentation

◆ f

python.uq.refinement.RefinementStrategy.PredictiveRanking.f

Referenced by python.uq.refinement.RefinementStrategy.PredictiveRanking.rank().

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