#include <OperationInverseRosenblattTransformation1DModPoly.hpp>
◆ OperationInverseRosenblattTransformation1DModPoly()
  
  
      
        
          | sgpp::datadriven::OperationInverseRosenblattTransformation1DModPoly::OperationInverseRosenblattTransformation1DModPoly  | 
          ( | 
          base::Grid *  | 
          grid | ) | 
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explicit   | 
  
 
 
◆ ~OperationInverseRosenblattTransformation1DModPoly()
  
  
      
        
          | sgpp::datadriven::OperationInverseRosenblattTransformation1DModPoly::~OperationInverseRosenblattTransformation1DModPoly  | 
          ( | 
           | ) | 
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virtual   | 
  
 
References alpha, sgpp::op_factory::createOperationEval(), python.uq.operations.sparse_grid::getDegree(), sgpp::base::GaussLegendreQuadRule1D::getLevelPointsAndWeightsNormalized(), sgpp::base::HashGridStorage::getPoint(), sgpp::base::HashGridStorage::getSize(), sgpp::base::HashGridPoint::getStandardCoordinate(), sgpp::base::Grid::getStorage(), grid, h, sgpp::base::HermiteBasis::h_0_0(), sgpp::base::HermiteBasis::h_0_1(), sgpp::base::HermiteBasis::h_1_0(), sgpp::base::HermiteBasis::h_1_1(), python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, and friedman::p.
Referenced by OperationInverseRosenblattTransformation1DModPoly().
 
 
◆ doTransformation1D()
  
  
      
        
          | double sgpp::datadriven::OperationInverseRosenblattTransformation1DModPoly::doTransformation1D  | 
          ( | 
          base::DataVector *  | 
          alpha1d,  | 
         
        
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           | 
          double  | 
          coord1d  | 
         
        
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          ) | 
           |  | 
         
       
   | 
  
virtual   | 
  
 
 
◆ grid
  
  
      
        
          | base::Grid* sgpp::datadriven::OperationInverseRosenblattTransformation1DModPoly::grid | 
         
       
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protected   | 
  
 
Referenced by python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), python.uq.learner.Regressor.Regressor::learnData(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.learner.Classifier.Classifier::updateResults(), python.learner.Regressor.Regressor::updateResults(), python.uq.learner.Regressor.Regressor::updateResults(), and ~OperationInverseRosenblattTransformation1DModPoly().
 
 
The documentation for this class was generated from the following files: