MaxLogLikelihood.cpp File Reference

#include <shark/Data/Csv.h>
#include <shark/Algorithms/Trainers/NormalizeComponentsUnitVariance.h>
#include <shark/Models/RBFLayer.h>
#include <shark/Models/ConvexCombination.h>
#include <shark/Models/ConcatenatedModel.h>
#include <shark/ObjectiveFunctions/NegativeLogLikelihood.h>
#include <shark/Algorithms/GradientDescent/Rprop.h>
#include <shark/Algorithms/KMeans.h>

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Functions
int	main (int argc, char **argv)

Function Documentation

main()

int main	(	int	argc,
		char **	argv
	)

Definition at line 18 of file MaxLogLikelihood.cpp.

References shark::RBFLayer::centers(), shark::dataDimension(), shark::RBFLayer::gamma(), shark::importCSV(), shark::IRpropPlus::init(), shark::initRandomUniform(), shark::kMeans(), shark::RBFLayer::setStructure(), shark::ConvexCombination::setStructure(), shark::AbstractSingleObjectiveOptimizer< PointType >::solution(), shark::IRpropPlus::step(), shark::NormalizeComponentsUnitVariance< DataType >::train(), and shark::ResultSet< SearchPointT, ResultT >::value.