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sgpp::datadriven::OperationRosenblattTransformation1DLinear Class Reference

#include <OperationRosenblattTransformation1DLinear.hpp>

Inheritance diagram for sgpp::datadriven::OperationRosenblattTransformation1DLinear:
sgpp::datadriven::OperationTransformation1D

Public Member Functions

double doTransformation1D (base::DataVector *alpha1d, double coord1d)
 Rosenblatt Transformation 1D.
 
 OperationRosenblattTransformation1DLinear (base::Grid *grid)
 WARNING: the grid must be a 1D grid!
 
virtual ~OperationRosenblattTransformation1DLinear ()
 
- Public Member Functions inherited from sgpp::datadriven::OperationTransformation1D
 OperationTransformation1D ()
 
virtual ~OperationTransformation1D ()
 

Protected Attributes

base::Gridgrid
 

Constructor & Destructor Documentation

◆ OperationRosenblattTransformation1DLinear()

sgpp::datadriven::OperationRosenblattTransformation1DLinear::OperationRosenblattTransformation1DLinear ( base::Grid grid)
explicit

WARNING: the grid must be a 1D grid!

◆ ~OperationRosenblattTransformation1DLinear()

sgpp::datadriven::OperationRosenblattTransformation1DLinear::~OperationRosenblattTransformation1DLinear ( )
virtual

Member Function Documentation

◆ doTransformation1D()

double sgpp::datadriven::OperationRosenblattTransformation1DLinear::doTransformation1D ( base::DataVector alpha1d,
double  coord1d 
)
virtual

Member Data Documentation

◆ grid

base::Grid* sgpp::datadriven::OperationRosenblattTransformation1DLinear::grid
protected

Referenced by python.uq.dists.SGDEdist.SGDEdist::__str__(), python.learner.Learner.Learner::applyData(), python.tools.Matrix::ApplyMatrix(), python.uq.dists.SGDEdist.SGDEdist::cdf(), python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Learner.Learner::doLearningIteration(), doTransformation1D(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.tools.Matrix::generateb(), python.controller.CheckpointController.CheckpointController::generateFoldValidationJob(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), python.learner.Learner.Learner::learnData(), python.learner.Learner.Learner::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.learner.Learner.Learner::learnDataWithTest(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.controller.CheckpointController.CheckpointController::loadAll(), python.uq.operations.forcePositivity.operationMakePositive.OperationMakePositive::makePositive(), python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast::makePositive(), python.uq.dists.SGDEdist.SGDEdist::mean(), python.uq.dists.SGDEdist.SGDEdist::pdf(), python.uq.dists.SGDEdist.SGDEdist::ppf(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.controller.CheckpointController.CheckpointController::saveGrid(), python.controller.CheckpointController.CheckpointController::setGrid(), python.learner.Learner.Learner::setGrid(), python.uq.learner.Learner.Learner::setGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::split(), python.uq.dists.SGDEdist.SGDEdist::toJson(), and python.uq.dists.SGDEdist.SGDEdist::var().


The documentation for this class was generated from the following files: