#include <OperationRosenblattTransformation1DModBspline.hpp>
◆ OperationRosenblattTransformation1DModBspline()
sgpp::datadriven::OperationRosenblattTransformation1DModBspline::OperationRosenblattTransformation1DModBspline |
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base::Grid * |
grid | ) |
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explicit |
WARNING: the grid must be a 1D grid!
◆ ~OperationRosenblattTransformation1DModBspline()
sgpp::datadriven::OperationRosenblattTransformation1DModBspline::~OperationRosenblattTransformation1DModBspline |
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virtual |
◆ doTransformation1D()
double sgpp::datadriven::OperationRosenblattTransformation1DModBspline::doTransformation1D |
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base::DataVector * |
alpha1d, |
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double |
coord1d |
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virtual |
Rosenblatt Transformation 1D.
- Parameters
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- Returns
Implements sgpp::datadriven::OperationTransformation1D.
References alpha, sgpp::op_factory::createOperationEvalNaive(), 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.
◆ grid
base::Grid* sgpp::datadriven::OperationRosenblattTransformation1DModBspline::grid |
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protected |
Referenced by python.uq.learner.Interpolant.Interpolant::doLearningIteration(), doTransformation1D(), 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(), and python.uq.learner.Regressor.Regressor::updateResults().
The documentation for this class was generated from the following files: