#include <OperationInverseRosenblattTransformation1DPoly.hpp>
◆ OperationInverseRosenblattTransformation1DPoly()
sgpp::datadriven::OperationInverseRosenblattTransformation1DPoly::OperationInverseRosenblattTransformation1DPoly |
( |
base::Grid * |
grid | ) |
|
|
explicit |
WARNING: the grid must be a 1D grid!
◆ ~OperationInverseRosenblattTransformation1DPoly()
sgpp::datadriven::OperationInverseRosenblattTransformation1DPoly::~OperationInverseRosenblattTransformation1DPoly |
( |
| ) |
|
|
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.
◆ doTransformation1D()
double sgpp::datadriven::OperationInverseRosenblattTransformation1DPoly::doTransformation1D |
( |
base::DataVector * |
alpha1d, |
|
|
double |
coord1d |
|
) |
| |
|
virtual |
◆ grid
base::Grid* sgpp::datadriven::OperationInverseRosenblattTransformation1DPoly::grid |
|
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 ~OperationInverseRosenblattTransformation1DPoly().
The documentation for this class was generated from the following files: