Here is a list of all variables with links to the classes they belong to:

- t -

• t_ : sgpp::base::GeneralGridConfiguration, sgpp::pde::LaplaceEnhancedDownBBLinear, sgpp::pde::LaplaceEnhancedUpBBLinear
• t_diag_ : sgpp::datadriven::DBMatOfflineOrthoAdapt
• t_subdiag_ : sgpp::datadriven::DBMatOfflineOrthoAdapt
• t_tridiag_inv_matrix_ : sgpp::datadriven::DBMatOfflineOrthoAdapt
• t_tridiag_inv_matrix_distributed_ : sgpp::datadriven::DBMatOfflineOrthoAdapt
• table : sgpp::base::ClenshawCurtisTable
• tag_stats : python.uq.uq_setting.samplingresult.Samplingresult
• targetDimension_ : sgpp::datadriven::VisualizationParameters
• targetDirectory_ : sgpp::datadriven::VisualizationGeneralConfig
• targetFileType_ : sgpp::datadriven::VisualizationGeneralConfig
• targetHits : sgpp::datadriven::MessageTrackRequest
• targets : sgpp::datadriven::DataBasedRefinementFunctor, sgpp::datadriven::Dataset
• taskSize : sgpp::datadriven::AssignTaskResult
• tempPoint : python.data.DataContainer.DataContainer
• tempValue : python.data.DataContainer.DataContainer
• TEST_CATEGORY : python.data.DataContainer.DataContainer
• testAccuracy : python.learner.Classifier.Classifier, python.learner.Learner.Learner, python.learner.Regressor.Regressor, python.uq.learner.Learner.Learner, python.uq.learner.Regressor.Regressor, python.uq.learner.SimulationLearner.SimulationLearner
• testBatchSize_ : sgpp::datadriven::DataSourceConfig
• testCount : python.uq.learner.SimulationLearner.SimulationLearner, python.uq.manager.ASGCStatistics.ASGCStatistics
• testData : python.uq.dists.LibAGFDist.LibAGFDist, sgpp::datadriven::LearnerSGD, sgpp::datadriven::LearnerSGDEOnOffParallel, sgpp::datadriven::LearnerSVM
• testErrors : python.uq.learner.Interpolant.Interpolant
• testFilePath_ : sgpp::datadriven::DataSourceConfig
• testFileType_ : sgpp::datadriven::DataSourceConfig
• testHasTargets_ : sgpp::datadriven::DataSourceConfig
• testingOverall : python.learner.Learner.Learner, python.uq.learner.Learner.Learner, python.uq.learner.SimulationLearner.SimulationLearner
• testIsCompressed_ : sgpp::datadriven::DataSourceConfig
• testL1Norm : python.uq.manager.ASGCStatistics.ASGCStatistics
• testL2Norm : python.uq.manager.ASGCStatistics.ASGCStatistics
• testLabels : sgpp::datadriven::LearnerSGD, sgpp::datadriven::LearnerSVM
• testMat : sgpp::datadriven::DBMatOnlineDE
• testMatRes : sgpp::datadriven::DBMatOnlineDE
• testMaxError : python.uq.manager.ASGCStatistics.ASGCStatistics
• testMSE : python.uq.manager.ASGCStatistics.ASGCStatistics
• testNumBatches_ : sgpp::datadriven::DataSourceConfig
• testReadinClasses_ : sgpp::datadriven::DataSourceConfig
• testReadinColumns_ : sgpp::datadriven::DataSourceConfig
• testReadinCutoff_ : sgpp::datadriven::DataSourceConfig
• testSet : python.uq.manager.ASGCUQManager.ASGCUQManager
• theta : sgpp::optimization::optimizer::AdaptiveGradientDescent, sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::BFGS, sgpp::optimization::optimizer::LogBarrier, sgpp::optimization::optimizer::Rprop, sgpp::optimization::optimizer::SquaredPenalty
• theta_ : sgpp::datadriven::VisualizationParameters
• threshold : sgpp::base::ForwardSelectorRefinementIndicator, sgpp::base::ImpurityRefinementIndicator, sgpp::base::PredictiveRefinementIndicator, sgpp::base::SurplusCoarseningFunctor, sgpp::base::SurplusRefinementFunctor, sgpp::base::SurplusVolumeCoarseningFunctor, sgpp::base::SurplusVolumeRefinementFunctor, sgpp::base::VectorDistributionRefinementFunctor, sgpp::base::VectorSurplusRefinementFunctor, sgpp::datadriven::AlgorithmAdaBoostBase, sgpp::datadriven::DataBasedRefinementFunctor, sgpp::datadriven::GridPointBasedRefinementFunctor, sgpp::datadriven::ZeroCrossingRefinementFunctor
• threshold_ : sgpp::solver::SLESolverConfiguration, sgpp::solver::SLESolverSPConfiguration
• thresholdType : sgpp::datadriven::ClassificationRefinementFunctor
• thresholdType_ : sgpp::base::AdaptivityConfiguration
• time : python.uq.uq_setting.samplingresult.Samplingresult
• timeComplete_ : sgpp::datadriven::LearnerTiming
• timeMultComplete_ : sgpp::datadriven::LearnerTiming
• timeMultCompute_ : sgpp::datadriven::LearnerTiming
• timeMultTransComplete_ : sgpp::datadriven::LearnerTiming
• timeMultTransCompute_ : sgpp::datadriven::LearnerTiming
• timeRegularization_ : sgpp::datadriven::LearnerTiming
• TimestepSize : sgpp::solver::OperationParabolicPDESolverSystem
• TimestepSize_old : sgpp::solver::OperationParabolicPDESolverSystem
• title : python.controller.CheckpointController.CheckpointController
• tmpMat : sgpp::base::ComponentScalarFunctionGradient, sgpp::base::ComponentScalarFunctionHessian
• tmpVec1 : sgpp::base::ComponentScalarFunction, sgpp::base::ComponentScalarFunctionGradient, sgpp::base::ComponentScalarFunctionHessian
• tmpVec2 : sgpp::base::ComponentScalarFunction, sgpp::base::ComponentScalarFunctionGradient, sgpp::base::ComponentScalarFunctionHessian
• tmpVecMat : sgpp::base::ComponentScalarFunctionHessian
• tol : sgpp::base::sle_solver::BiCGStab, sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::LevenbergMarquardt, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG
• tOperationMode : sgpp::solver::OperationParabolicPDESolverSystem
• total_grid : sgpp::datadriven::ClassificationRefinementFunctor
• totalNumberOfIndexVectors : sgpp::combigrid::IndexVectorRange
• TRAIN_CATEGORY : python.data.DataContainer.DataContainer
• trainAccuracy : python.learner.Classifier.Classifier, python.learner.Learner.Learner, python.learner.Regressor.Regressor, python.uq.learner.Learner.Learner, python.uq.learner.Regressor.Regressor, python.uq.learner.SimulationLearner.SimulationLearner
• trainCount : python.uq.learner.SimulationLearner.SimulationLearner, python.uq.manager.ASGCStatistics.ASGCStatistics
• trainData : python.uq.dists.EstimatedDist.EstimatedDist, python.uq.dists.KDEDist.KDEDist, python.uq.dists.LibAGFDist.LibAGFDist, python.uq.dists.SGDEdist.SGDEdist, sgpp::datadriven::LearnerSGD, sgpp::datadriven::LearnerSGDE, sgpp::datadriven::LearnerSGDEOnOffParallel, sgpp::datadriven::LearnerSVM
• trained : sgpp::datadriven::LearnerSGDEOnOffParallel
• trainErrors : python.uq.learner.Interpolant.Interpolant
• trainingOverall : python.learner.Learner.Learner, python.uq.learner.Learner.Learner, python.uq.learner.SimulationLearner.SimulationLearner
• trainL2Norm : python.uq.manager.ASGCStatistics.ASGCStatistics
• trainLabels : sgpp::datadriven::LearnerSGD, sgpp::datadriven::LearnerSGDE, sgpp::datadriven::LearnerSVM
• trainMSE : python.uq.manager.ASGCStatistics.ASGCStatistics
• trainSamples : python.uq.operations.forcePositivity.estimateDensity.EstimateDensityAlgorithm
• trans : python.uq.dists.EstimatedDist.EstimatedDist
• transformation : python.uq.dists.LibAGFDist.LibAGFDist
• transformedOutput : sgpp::datadriven::BayesianOptimization
• TRAPEZOIDBOUNDARY : python.learner.Types.BorderTypes
• treshold : sgpp::datadriven::clusteringmpi::PrunedGraphCreationWorker
• trilinearForm : python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy
• trueNegative_ : sgpp::datadriven::ClassificatorQuality
• truePositive_ : sgpp::datadriven::ClassificatorQuality
• tsneCompressedData : sgpp::datadriven::Visualizer
• type : json::Token, sgpp::base::Stretching1D, sgpp::datadriven::AlgorithmAdaBoostBase, sgpp::datadriven::RegressionLearner::Solver, sgpp::datadriven::SubspaceNodeCombined
• type_ : sgpp::base::GeneralGridConfiguration, sgpp::datadriven::DataTransformationConfig, sgpp::datadriven::DensityEstimationConfiguration, sgpp::datadriven::RegularizationConfiguration, sgpp::solver::SLESolverConfiguration, sgpp::solver::SLESolverSPConfiguration