analyse_erg Namespace Reference

Variables
list	clustercount = []
int	clustercounter = 0
list	confirmed_hits = []
int	counter = 0
	file = sys.argv[1]
	file1 = np.loadtxt(file)
	file_ref = np.loadtxt(referenz)
list	found_clusters = []
int	gesamthits = 0
	referenz = sys.argv[2]
	tmp = float(file_ref[counter])
	tocomp = int(tmp)

Variable Documentation

clustercount

list analyse_erg.clustercount = []

Referenced by sgpp::datadriven::DensityOCLMultiPlatform::OperationCreateGraphOCL.find_clusters().

clustercounter

int analyse_erg.clustercounter = 0

confirmed_hits

list analyse_erg.confirmed_hits = []

counter

int analyse_erg.counter = 0

Referenced by sgpp::combigrid::FullGridCallbackEvaluator< V >.getLevelTasks(), sgpp::base::HashRefinementBoundaries.getNumberOfRefinablePoints(), sgpp::base::HashRefinement.getNumberOfRefinablePoints(), sgpp::base::HashRefinementBoundariesMaxLevel.getNumberOfRefinablePointsToMaxLevel(), sgpp::base::HashCoarsening.getNumberOfRemovablePoints(), sgpp::datadriven::DensityOCLMultiPlatform::OperationCreateGraphOCLSingleDevice< T >.OperationCreateGraphOCLSingleDevice(), sgpp::datadriven::DensityOCLMultiPlatform::OperationDensityOCLMultiPlatform< T >.OperationDensityOCLMultiPlatform(), sgpp::datadriven::DensityOCLMultiPlatform::OperationPruneGraphOCLMultiPlatform< T >.OperationPruneGraphOCLMultiPlatform(), and sgpp::base::PredictiveRefinementIndicator.operator()().

file

analyse_erg.file = sys.argv[1]

Referenced by sgpp::datadriven::DBMatOfflineFactory.buildFromFile(), sgpp::datadriven::DBMatOfflineGE.DBMatOfflineGE(), sgpp::datadriven::DBMatOfflineOrthoAdapt.DBMatOfflineOrthoAdapt(), sgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< T >.generateSourceMult(), sgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< T >.generateSourceMultTrans(), json::JSON.JSON(), sgpp::datadriven::DBMatOffline.parseInter(), python.toolsExtended.printNDFunction(), python.toolsExtended.printRefNDFunction(), sgpp::base::ConfigurationParameters.readFromFile(), sgpp::combigrid.readFromFile(), sgpp::base::KernelSourceBuilderBase< real_type >.reuseSource(), python.tools.writeGnuplotGrid(), python.toolsExtended.writeMatrixToFile(), sgpp::base::ConfigurationParameters.writeToFile(), and sgpp::combigrid.writeToFile().

file1

analyse_erg.file1 = np.loadtxt(file)

file_ref

analyse_erg.file_ref = np.loadtxt(referenz)

found_clusters

list analyse_erg.found_clusters = []

gesamthits

int analyse_erg.gesamthits = 0

referenz

analyse_erg.referenz = sys.argv[2]

tmp

analyse_erg.tmp = float(file_ref[counter])

Referenced by sgpp::base::DataMatrixSP.addReduce(), sgpp::base::DataMatrix.addReduce(), sgpp::datadriven::ConfigurationRestriction.check(), sgpp::datadriven::DBMatDMSDenseIChol.choleskyForwardSolve(), sgpp::datadriven::DBMatOnlineDE.computeL2Error(), sgpp::datadriven::Friedman2Generator.createData(), sgpp::datadriven::Friedman3Generator.createData(), sgpp::base::OperationQuadratureModLinear.doQuadrature(), sgpp::base::OperationQuadratureLinearBoundary.doQuadrature(), sgpp::datadriven::OperationDensityRejectionSamplingLinear.doSampling(), sgpp::datadriven::OperationDensitySampling1DLinear.doSampling1D(), sgpp::datadriven::OperationRosenblattTransformation1DLinear.doTransformation1D(), sgpp::datadriven::OperationInverseRosenblattTransformation1DLinear.doTransformation1D(), sgpp::datadriven::OperationInverseRosenblattTransformationLinear.doTransformation1D(), sgpp::datadriven::OperationRosenblattTransformationLinear.doTransformation1D(), sgpp::datadriven::ModelFittingClassification.evaluate(), sgpp::optimization::test_problems::BraninObjective.evalUndisplaced(), sgpp::optimization::test_problems::GriewankObjective.evalUndisplaced(), sgpp::optimization::test_problems::G12InequalityConstraint.evalUndisplaced(), sgpp::optimization::test_problems::SimionescuInequalityConstraint.evalUndisplaced(), sgpp::datadriven::LearnerBaseSP.getAccuracy(), sgpp::datadriven::LearnerBase.getAccuracy(), sgpp::pde::PDESolver.getGridNormalDistribution(), sgpp::datadriven::BOConfig.getScaledDistance(), sgpp::datadriven::BOConfig.getTotalDistance(), sgpp::pde::PoissonEquationSolver.initGridWithExpHeat(), sgpp::pde::PoissonEquationSolver.initGridWithExpHeatFullDomain(), sgpp::pde::PoissonEquationSolver.initGridWithSmoothHeat(), sgpp::pde::HeatEquationSolver.initGridWithSmoothHeat(), sgpp::pde::HeatEquationSolverWithStretching.initGridWithSmoothHeat(), sgpp::pde::PoissonEquationSolver.initGridWithSmoothHeatFullDomain(), sgpp::datadriven::KDEMaximumLikelihoodCrossValidation.KDEMaximumLikelihoodCrossValidation(), sgpp::datadriven::BayesianOptimization.likelihood(), sgpp::datadriven::MSE.measure(), sgpp::datadriven::NegativeLogLikelihood.measure(), sgpp::datadriven::PiecewiseConstantSmoothedRegressionSystemMatrix.mult(), sgpp::datadriven::DensitySystemMatrix.mult(), sgpp::datadriven::StreamingBSplineOCLKernelImpl< T >.multTranspose(), sgpp::base::SubspaceGenerator::iterator.operator++(), sgpp::base::IndexInSubspaceGenerator::iterator.operator++(), sgpp::optimization::optimizer::CMAES.optimize(), sgpp::datadriven::DBMatOffline.parseInter(), sgpp::base::GridPrinterForStretching.printSparseGrid(), sgpp::base::GridPrinter.printSparseGrid(), sgpp::base::GridPrinterForStretching.printSparseGridExpTransform(), sgpp::base::GridPrinter.printSparseGridExpTransform(), sgpp::pde::PhiPhiUpBBLinear.rec(), sgpp::pde::LaplaceEnhancedUpBBLinear.rec(), sgpp::pde::LaplaceEnhancedUpBBLinear.rec_GL(), sgpp::pde::LaplaceEnhancedUpBBLinear.rec_LG(), sgpp::pde::LaplaceEnhancedUpBBLinear.rec_LL(), sgpp::pde::LaplaceEnhancedDownBBLinear.rec_LL(), sgpp::pde::PhiPhiUpBBLinear.recBB(), sgpp::pde::LaplaceEnhancedUpBBLinear.recBB(), sgpp::pde::LaplaceEnhancedUpBBLinear.recBB_GL(), sgpp::pde::LaplaceEnhancedUpBBLinear.recBB_LG(), sgpp::pde::LaplaceEnhancedUpBBLinear.recBB_LL(), sgpp::datadriven::MultipleClassRefinementFunctor.refine(), sgpp::base::HashGenerator.regular_boundary_truncated_iter(), sgpp::datadriven::ConfigurationRestriction.resolve(), sgpp::datadriven::Harmonica.setParameters(), sgpp::datadriven::BayesianOptimization.setScales(), sgpp::solver::StepsizeControl.solve(), sgpp::datadriven::DatasetTools.splitset(), sgpp::datadriven::SparseGridDensityEstimator.splitset(), sgpp::datadriven::LearnerSGDE.splitset(), sgpp::datadriven::ModelFittingClassification.update(), sgpp::datadriven::BayesianOptimization.updateGP(), and sgpp::datadriven::BayesianOptimization.var().

tocomp

int analyse_erg.tocomp = int(tmp)