◆ __init__()
python.uq.manager.ASGCStatistics.ASGCStatistics.__init__ |
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◆ updateResults()
python.uq.manager.ASGCStatistics.ASGCStatistics.updateResults |
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t, |
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References python.uq.manager.ASGCStatistics.ASGCStatistics.__updateDicts(), sgpp::base::HashGridPoint.level, sgpp::combigrid::FullGrid.level, sgpp::combigrid::OperationPoleHierarchisationGeneral::HierarchisationGeneralSLE.level, python.learner.folding.FilesFoldingPolicy.FilesFoldingPolicy.level, python.learner.folding.FoldingPolicy.FoldingPolicy.level, python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.level, python.learner.folding.SequentialFoldingPolicy.SequentialFoldingPolicy.level, python.learner.folding.StratifiedFoldingPolicy.StratifiedFoldingPolicy.level, python.uq.estimators.MarginalIntegralStrategy.MarginalIntegralStrategy.level, python.uq.learner.builder.GridDescriptor.GridDescriptor.level, python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.level, python.uq.learner.SimulationLearner.SimulationLearner.level, python.uq.manager.ASGCStatistics.ASGCStatistics.level, python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.level, sgpp::datadriven::AlgorithmAdaBoostBase.level, sgpp::datadriven::CombiScheme.level, sgpp::datadriven::LevelIndexPair.level, sgpp::datadriven::OperationMultiEvalModMaskStreaming.level, sgpp::datadriven::OperationMultiEvalStreamingBSplineOCL< T >.level, sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >.level, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >.level, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >.level, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >.level, sgpp::datadriven::SubspaceNodeCombined.level, sgpp::datadriven::SubspaceNodeSimple.level, python.learner.Learner.Learner.numberPoints, python.uq.learner.Learner.Learner.numberPoints, python.uq.learner.SimulationLearner.SimulationLearner.numberPoints, python.uq.manager.ASGCStatistics.ASGCStatistics.numberPoints, python.uq.learner.SimulationLearner.SimulationLearner.testCount, python.uq.manager.ASGCStatistics.ASGCStatistics.testCount, python.uq.manager.ASGCStatistics.ASGCStatistics.testL1Norm, python.uq.manager.ASGCStatistics.ASGCStatistics.testL2Norm, python.uq.manager.ASGCStatistics.ASGCStatistics.testMaxError, python.uq.manager.ASGCStatistics.ASGCStatistics.testMSE, sgpp::datadriven::OperationTestLinearStretchedBoundary.testMSE(), sgpp::datadriven::OperationTestModBspline.testMSE(), sgpp::datadriven::OperationTestModPoly.testMSE(), sgpp::datadriven::OperationTestPoly.testMSE(), sgpp::datadriven::OperationTestLinear.testMSE(), sgpp::datadriven::OperationTestLinearBoundary.testMSE(), sgpp::datadriven::OperationTestLinearStretched.testMSE(), sgpp::datadriven::OperationTestModLinear.testMSE(), sgpp::datadriven::OperationTestModWavelet.testMSE(), sgpp::datadriven::OperationTestPrewavelet.testMSE(), sgpp::datadriven::OperationTest.testMSE(), python.uq.learner.SimulationLearner.SimulationLearner.trainCount, python.uq.manager.ASGCStatistics.ASGCStatistics.trainCount, python.uq.manager.ASGCStatistics.ASGCStatistics.trainL2Norm, and python.uq.manager.ASGCStatistics.ASGCStatistics.trainMSE.
Referenced by python.learner.Learner.Learner.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), and python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithTest().
◆ level
python.uq.manager.ASGCStatistics.ASGCStatistics.level |
Referenced by python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.__eq__(), python.learner.folding.FoldingPolicy.FoldingPolicy.__next__(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.contains(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.containsDimx(), python.uq.learner.builder.GridDescriptor.GridDescriptor.createGrid(), python.uq.estimators.MarginalIntegralStrategy.MarginalIntegralStrategy.estimate(), python.uq.learner.builder.GridDescriptor.GridDescriptor.fromGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.getLevelIndex(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.getMaxLevel(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.overlap(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.overlapDimx(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.transformToReferenceGrid(), python.uq.manager.ASGCStatistics.ASGCStatistics.updateResults(), python.uq.learner.builder.GridDescriptor.GridDescriptor.withLevel(), and python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withLevel().
◆ numberPoints
python.uq.manager.ASGCStatistics.ASGCStatistics.numberPoints |
◆ testCount
python.uq.manager.ASGCStatistics.ASGCStatistics.testCount |
◆ testL1Norm
python.uq.manager.ASGCStatistics.ASGCStatistics.testL1Norm |
◆ testL2Norm
python.uq.manager.ASGCStatistics.ASGCStatistics.testL2Norm |
◆ testMaxError
python.uq.manager.ASGCStatistics.ASGCStatistics.testMaxError |
◆ testMSE
python.uq.manager.ASGCStatistics.ASGCStatistics.testMSE |
◆ trainCount
python.uq.manager.ASGCStatistics.ASGCStatistics.trainCount |
◆ trainL2Norm
python.uq.manager.ASGCStatistics.ASGCStatistics.trainL2Norm |
◆ trainMSE
python.uq.manager.ASGCStatistics.ASGCStatistics.trainMSE |
The documentation for this class was generated from the following file: