python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis Class Reference

Inheritance diagram for python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis:

Public Member Functions
def	__init__ (self, uqManager, strategy=None)
def	computeL2ErrorSurpluses (self, qoi, t, dtype, iteration)
def	computeMean (self, iteration, qoi, t)
def	computeMoments (self, iterations=None, ts=None)
def	computeStats (self, dtype)
def	computeSurplusesLevelWise (self, t=0, dtype=KnowledgeTypes.SIMPLE, iteration=None)
def	computeVar (self, iteration, qoi, t)
def	estimateDensity (self, ts=[0], n=10000, dtype="kde", samples=None, config={})
def	eval (self, samples, ts=None, dtype=KnowledgeTypes.SIMPLE)
def	generateUnitSamples (self, n=10000)
def	getAnovaDecomposition (self, t=0, iteration=None, args, kws)
def	getGrid (self)
def	getSurpluses (self)
def	getUQManager (self)
def	sampleGrids (self, filename)
def	setEstimationStrategy (self, strategy)
def	setVerbose (self, verbose)
def	writeCheckpoints (self, filename)
def	writeSensitivityValues (self, filename)
def	writeStats (self, filename)
def	writeSurplusesLevelWise (self, filename)

Detailed Description

The ASGC class

Constructor & Destructor Documentation

__init__()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__init__	(		self,
			uqManager,
			strategy = None
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__anova, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__estimationStrategy, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__T, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__T, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__U, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__U, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager.

Member Function Documentation

computeL2ErrorSurpluses()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeL2ErrorSurpluses	(		self,
			qoi,
			t,
			dtype,
			iteration
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeStats().

computeMean()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMean	(		self,
			iteration,
			qoi,
			t
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__estimationStrategy, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__T, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__T, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__U, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__U, and python.datasetAnalysis.mean.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeVar().

computeMoments()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments	(		self,
			iterations = None,
			ts = None
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getGrid(), python.uq.estimators.Estimator.Estimator.mean(), python.uq.estimators.CollocationPointsStrategy.CollocationPointsStrategy.mean(), python.uq.estimators.MarginalAnalyticEstimationStrategy.MarginalAnalyticEstimationStrategy.mean(), python.uq.estimators.MCEstimator.MCEstimator.mean(), python.uq.estimators.SparseGridEstimator.SparseGridEstimator.mean(), sgpp::combigrid::Ishigami.mean, python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.mean(), sgpp::datadriven::DensityEstimator.mean(), sgpp::combigrid::BsplineStochasticCollocation.mean(), sgpp::combigrid::PolynomialChaosExpansion.mean(), sgpp::combigrid::PolynomialStochasticCollocation.mean(), sgpp::datadriven::OperationCovariance.mean(), python.uq.dists.Beta.Beta.mean(), sgpp::combigrid::Parabola.mean, python.uq.dists.Uniform.Uniform.mean(), python.uq.dists.Dist.Dist.mean(), python.uq.dists.Lognormal.Lognormal.mean(), sgpp::combigrid::Parabola_uniform.mean(), python.uq.analysis.Analysis.Analysis.mean(), sgpp::combigrid::ProbabilityDensityFunction1D.mean(), sgpp::combigrid::OrthogonalPolynomialBasis1D.mean(), python.uq.dists.DataDist.DataDist.mean(), python.uq.dists.J.J.mean(), python.uq.dists.TNormal.TNormal.mean(), sgpp::combigrid::CombigridSurrogateModel.mean(), python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.mean(), sgpp::datadriven::KernelDensityEstimator.mean(), python.uq.dists.Normal.Normal.mean(), sgpp::datadriven::BayesianOptimization.mean(), sgpp::datadriven::LearnerSGDE.mean(), sgpp::combigrid::CO2.mean, python.uq.dists.KDEDist.KDEDist.mean(), sgpp::combigrid::AtanUniform.mean, sgpp::combigrid::AtanBeta.mean, sgpp::datadriven::SparseGridDensityEstimator.mean(), sgpp::combigrid::Debugfct.mean, python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.mean(), python.uq.dists.LibAGFDist.LibAGFDist.mean(), python.uq.dists.SGDEdist.SGDEdist.mean(), python.uq.estimators.Estimator.Estimator.var(), python.uq.estimators.SparseGridEstimator.SparseGridEstimator.var(), python.uq.estimators.CollocationPointsStrategy.CollocationPointsStrategy.var(), python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.var(), python.uq.estimators.MCEstimator.MCEstimator.var(), python.uq.dists.Beta.Beta.var(), python.uq.dists.Uniform.Uniform.var(), python.uq.dists.Dist.Dist.var(), python.uq.dists.Lognormal.Lognormal.var(), sgpp::combigrid::BsplineStochasticCollocation.var, sgpp::combigrid::PolynomialStochasticCollocation.var, python.uq.dists.DataDist.DataDist.var(), python.uq.dists.J.J.var(), python.uq.dists.TNormal.TNormal.var(), python.uq.dists.Normal.Normal.var(), sgpp::datadriven::BayesianOptimization.var(), python.uq.dists.KDEDist.KDEDist.var(), python.uq.analysis.Analysis.Analysis.var(), python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.var(), python.uq.dists.LibAGFDist.LibAGFDist.var(), python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.var(), and python.uq.dists.SGDEdist.SGDEdist.var().

Referenced by python.uq.analysis.mc.MCAnalysis.MCAnalysis.writeMoments().

computeStats()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeStats	(		self,
			dtype
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeL2ErrorSurpluses().

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeStats().

computeSurplusesLevelWise()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeSurplusesLevelWise	(		self,
			t = 0,
			dtype = KnowledgeTypes.SIMPLE,
			iteration = None
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getGrid().

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeCheckpoints(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSurplusesLevelWise().

computeVar()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeVar	(		self,
			iteration,
			qoi,
			t
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__estimationStrategy, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__T, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__T, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__U, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__U, python.uq.analysis.Analysis.AnalysisHash._moments, python.uq.analysis.Analysis.Analysis._moments, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, sgpp::combigrid::BsplineStochasticCollocation.computeMean(), sgpp::combigrid::PolynomialStochasticCollocation.computeMean(), sgpp::combigrid::FirstMomentNormStrategy.computeMean(), python.uq.analysis.Analysis.Analysis.computeMean(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMean().

estimateDensity()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.estimateDensity	(		self,
			ts = [0],
			n = 10000,
			dtype = "kde",
			samples = None,
			config = {}
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, python.uq.analysis.Analysis.Analysis._estimateDensityByConfig(), sgpp::combigrid::GeneralFunctionDirector< Out, In >.eval(), sgpp::base::Basis< LT, IT >.eval(), sgpp::combigrid::Ishigami.eval(), sgpp::combigrid::BsplineStochasticCollocation.eval(), sgpp::combigrid::PolynomialChaosExpansion.eval(), sgpp::combigrid::PolynomialStochasticCollocation.eval(), sgpp::base::OperationEvalLinear.eval(), sgpp::combigrid::GeneralFunctionDirector1< Out >.eval(), sgpp::base::OperationEvalLinearClenshawCurtisNaive.eval(), sgpp::base::OperationEvalModLinearClenshawCurtisNaive.eval(), sgpp::base::WaveletBasis< LT, IT >.eval(), sgpp::base::WaveletBoundaryBasis< LT, IT >.eval(), sgpp::base::WaveletModifiedBasis< LT, IT >.eval(), sgpp::base::OperationEvalPrewavelet.eval(), sgpp::base::LinearModifiedBasis< LT, IT >.eval(), sgpp::base::OperationEvalLinearStretched.eval(), sgpp::base::OperationEvalModLinear.eval(), sgpp::base::LinearBasis< LT, IT >.eval(), sgpp::base::OperationEvalModPolyClenshawCurtisNaive.eval(), sgpp::base::LinearBoundaryBasis< LT, IT >.eval(), sgpp::base::OperationEvalPeriodic.eval(), sgpp::base::OperationEvalPolyClenshawCurtisNaive.eval(), sgpp::base::OperationEvalLinearClenshawCurtisBoundaryNaive.eval(), sgpp::base::OperationEvalModPolyNaive.eval(), sgpp::base::LinearPeriodicBasis< LT, IT >.eval(), sgpp::base::OperationEvalLinearBoundary.eval(), sgpp::base::OperationEvalLinearStretchedBoundary.eval(), sgpp::base::LinearClenshawCurtisBasis< LT, IT >.eval(), sgpp::base::OperationEvalPolyClenshawCurtisBoundaryNaive.eval(), sgpp::base::LinearClenshawCurtisBoundaryBasis< LT, IT >.eval(), sgpp::base::OperationEvalPolyBoundaryNaive.eval(), sgpp::base::OperationEvalPolyNaive.eval(), sgpp::base::OperationEvalLinearBoundaryNaive.eval(), sgpp::base::OperationEvalLinearNaive.eval(), sgpp::base::OperationEvalModLinearNaive.eval(), sgpp::base::OperationEvalModPoly.eval(), sgpp::base::OperationEvalPoly.eval(), sgpp::base::OperationEval.eval(), sgpp::base::OperationEvalPolyBoundary.eval(), sgpp::base::OperationEvalWaveletNaive.eval(), sgpp::base::OperationEvalModWaveletNaive.eval(), sgpp::base::OperationEvalNakBsplineBoundaryCombigridNaive.eval(), sgpp::base::OperationEvalWaveletBoundaryNaive.eval(), sgpp::base::OperationEvalBsplineClenshawCurtisNaive.eval(), sgpp::base::OperationEvalBsplineBoundaryNaive.eval(), sgpp::base::OperationEvalFundamentalSplineNaive.eval(), sgpp::combigrid::FunctionLookupTable.eval(), sgpp::base::OperationEvalModBsplineNaive.eval(), sgpp::base::OperationEvalModFundamentalSplineNaive.eval(), sgpp::base::OperationEvalBsplineNaive.eval(), sgpp::base::OperationEvalModBsplineClenshawCurtisNaive.eval(), sgpp::base::LinearModifiedClenshawCurtisBasis< LT, IT >.eval(), sgpp::base::PolyModifiedBasis< LT, IT >.eval(), sgpp::combigrid::FullGridLinearSummationStrategy< V >.eval(), sgpp::base::BsplineBoundaryBasis< LT, IT >.eval(), sgpp::base::PolyModifiedClenshawCurtisBasis< LT, IT >.eval(), sgpp::combigrid::FullGridPCESummationStrategy< V >.eval(), sgpp::combigrid::FullGridTensorVarianceSummationStrategy< V >.eval(), sgpp::combigrid::FullGridOptimizedPCESummationStrategy< V >.eval(), sgpp::combigrid::Parabola.eval(), sgpp::base::PrewaveletBasis< LT, IT >.eval(), sgpp::base::NakBsplineBoundaryCombigridBasis< LT, IT >.eval(), sgpp::combigrid::AbstractLinearEvaluator< V >.eval(), sgpp::combigrid::FullGridQuadraticSummationStrategy< V >.eval(), sgpp::combigrid::FullGridVarianceSummationStrategy< V >.eval(), sgpp::base::PolyBoundaryBasis< LT, IT >.eval(), sgpp::combigrid::AbstractEvaluator< V >.eval(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.eval(), sgpp::combigrid::AbstractFullGridEvaluator< V >.eval(), sgpp::combigrid::AbstractFullGridSummationStrategy< V >.eval(), sgpp::combigrid::CombigridSurrogateModel.eval(), sgpp::base::PolyBasis< LT, IT >.eval(), sgpp::combigrid::Parabola_uniform.eval(), sgpp::base::BsplineModifiedClenshawCurtisBasis< LT, IT >.eval(), sgpp::base::PolyClenshawCurtisBoundaryBasis< LT, IT >.eval(), sgpp::base::LinearStretchedBoundaryBasis< LT, IT >.eval(), sgpp::combigrid::CO2.eval(), sgpp::base::OperationMultipleEval.eval(), sgpp::combigrid::FullGridCallbackEvaluator< V >.eval(), sgpp::combigrid::FullGridGridBasedEvaluator< V >.eval(), sgpp::base::PolyClenshawCurtisBasis< LT, IT >.eval(), sgpp::combigrid::AtanUniform.eval(), sgpp::combigrid::AtanBeta.eval(), sgpp::combigrid::Debugfct.eval(), sgpp::combigrid::Genz.eval(), sgpp::base::BsplineClenshawCurtisBasis< LT, IT >.eval(), python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.eval(), sgpp::base::FundamentalSplineBasis< LT, IT >.eval(), sgpp::base::FundamentalSplineModifiedBasis< LT, IT >.eval(), sgpp::base::BsplineModifiedBasis< LT, IT >.eval(), sgpp::base::BsplineBasis< LT, IT >.eval(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.generateUnitSamples().

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.generateUnitSamples().

eval()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.eval	(		self,
			samples,
			ts = None,
			dtype = KnowledgeTypes.SIMPLE
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.operations.sparse_grid.evalSGFunction(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getGrid().

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.estimateDensity().

generateUnitSamples()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.generateUnitSamples	(		self,
			n = 10000
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.estimateDensity().

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.estimateDensity().

getAnovaDecomposition()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getAnovaDecomposition	(		self,
			t = 0,
			iteration = None,
			args,
			kws
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__anova, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, python.uq.learner.SimulationLearner.SimulationLearner._verbose, python.uq.analysis.Analysis.Analysis._verbose, python.uq.uq_setting.UQSetting.UQSetting._verbose, and python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic._verbose.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSensitivityValues().

getGrid()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getGrid

(

self

)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeSurplusesLevelWise(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.eval(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.getSparseGridFunction(), python.uq.learner.SimulationLearner.SimulationLearner.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithFolding(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithTest(), python.uq.learner.SimulationLearner.SimulationLearner.refineGrid(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSensitivityValues().

getSurpluses()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getSurpluses

(

self

)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager.

getUQManager()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getUQManager

(

self

)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager.

sampleGrids()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.sampleGrids	(		self,
			filename
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, python.uq.tools.eval_fullGrid(), python.uq.operations.sparse_grid.evalSGFunctionMulti(), python.tools.writeAlphaARFF(), and python.tools.writeDataARFF().

setEstimationStrategy()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.setEstimationStrategy	(		self,
			strategy
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__estimationStrategy, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__moments, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, and python.uq.analysis.Analysis.Analysis._qoi.

setVerbose()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.setVerbose	(		self,
			verbose
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__verbose.

writeCheckpoints()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeCheckpoints	(		self,
			filename
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__params, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__params, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeSurplusesLevelWise(), python.tools.writeAlphaARFF(), and python.tools.writeGrid().

writeSensitivityValues()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSensitivityValues	(		self,
			filename
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.sampler.asgc.ASGCSamplerSpecification.ASGCSamplerSpecification._qoi, python.uq.learner.SimulationLearnerSpecification.SimulationLearnerSpecification._qoi, python.uq.analysis.asgc.ASGCAnalysisSpecification.ASGCAnalysisSpecification._qoi, python.uq.manager.ASGCUQManager.ASGCUQManager._qoi, python.uq.analysis.Analysis.Analysis._qoi, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getAnovaDecomposition(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.getGrid(), sgpp::combigrid.join(), and python.tools.writeDataARFF().

writeStats()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeStats	(		self,
			filename
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeStats(), and python.tools.writeDataARFF().

writeSurplusesLevelWise()

def python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSurplusesLevelWise	(		self,
			filename
	)

References python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__knowledge, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.__uqManager, python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeSurplusesLevelWise(), and python.tools.writeDataARFF().

---

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

• datadriven/python/uq/analysis/asgc/ASGCAnalysis.py