#include <sgpp/datadriven/datamining/modules/fitting/ModelFittingClassification.hpp>
#include <sgpp/base/exception/application_exception.hpp>
#include <sgpp/base/grid/RefinementConfiguration.hpp>
#include <sgpp/base/grid/RefinementFunctorTypeParser.hpp>
#include <sgpp/datadriven/configuration/DensityEstimationConfiguration.hpp>
#include <sgpp/datadriven/datamining/modules/fitting/ModelFittingDensityEstimationCG.hpp>
#include <sgpp/datadriven/datamining/modules/fitting/ModelFittingDensityEstimationCombi.hpp>
#include <sgpp/datadriven/datamining/modules/fitting/ModelFittingDensityEstimationOnOff.hpp>
#include <sgpp/datadriven/datamining/modules/fitting/ModelFittingDensityEstimationOnOffParallel.hpp>
#include <sgpp/datadriven/functors/MultiSurplusRefinementFunctor.hpp>
#include <sgpp/datadriven/functors/classification/ClassificationRefinementFunctor.hpp>
#include <sgpp/datadriven/functors/classification/DataBasedRefinementFunctor.hpp>
#include <sgpp/datadriven/functors/classification/GridPointBasedRefinementFunctor.hpp>
#include <sgpp/datadriven/functors/classification/MultipleClassRefinementFunctor.hpp>
#include <sgpp/datadriven/functors/classification/ZeroCrossingRefinementFunctor.hpp>
#include <string>
#include <fstream>
#include <iostream>
#include <limits>
#include <list>
#include <map>
#include <vector>

Namespaces
namespace	sgpp
	Class that stores, generates and manipulates a density function during online phase in on/off learning.

namespace	sgpp::datadriven

Namespaces