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mainPrecomputeKernelMatrix.cpp File Reference

#include "Basis/CmdOptions.h"
#include "Link/Mpi/MpiFuncs.h"
#include "Core/Matrix/DistributedAccess.h"
#include "Core/Array/Pattern/PatMPixOp.h"
#include "Core/Array/PixSum.h"
#include "Core/Array/Set.h"
#include "Core/Array/Add.h"
#include "Core/Array/DivVal.h"
#include "Core/Array/MulVal.h"
#include "Core/Array/Exp.h"
#include "Core/Array/WriteRaw.h"
#include "Core/Array/MakeFromValue.h"
#include "Core/Array/PrintData.h"
#include "Core/Feature/FeatureTable.h"
#include "Core/Feature/FeatureDefinition.h"
#include "Core/Table/Write.h"
#include "Core/Table/Equals.h"
#include "Core/Table/Select.h"
#include "Core/Vector/Apply.h"
#include "Core/VideoSet/MakeVideoSet.h"
#include "Core/ImageSet/MakeImageSet.h"
#include "Core/Training/KernelFunctions.h"
#include "Util/PropertySet.h"
#include "Core/Database/MakeRawDataSet.h"

Include dependency graph for mainPrecomputeKernelMatrix.cpp:

Go to the source code of this file.

Namespaces
namespace	Impala
namespace	Impala::Application
Functions
bool	Impala::Application::CheckParameteres (CmdOptions &options, RawDataSet *dataset, RawDataSet *dataset2, std::vector< Feature::FeatureDefinition > &featureDefs, std::vector< double > &weights, String resultname)
	This function loops over the command line arguments to find (weight,featureDef)-pairs.
Feature::FeatureTable *	Impala::Application::OpenFeatureTable (Feature::FeatureDefinition &featureDef, RawDataSet *dataset)
	opens feature table in MPI mode only node0 reads the table, then it is broadcasted
void	Impala::Application::GetPartialTask (int &partcount, int &row, int &column)
	This functions figures out which part of the table this process should process.
void	Impala::Application::CheckQuids (Feature::FeatureTable *f, RawDataSet *set, RawDataSet *set2, String resultname, int part, int partcount)
	This function does two things: store the quid table of the part of the matrix processed by this node so the whole table in case of single process if there are more than one feature table, check that the quids are consistent.
Feature::FeatureTable *	Impala::Application::GetPartial (Feature::FeatureTable *f, int partnumber, int partcount)
	Split table in subtables depending on this nodes id and the number of nodes if partcount == 1 the the full table is returned.
Matrix::Mat *	Impala::Application::ComputeMatrix (Feature::FeatureTable *devel, Feature::FeatureTable *test, String resultname, RawDataSet *set, RawDataSet *set2)
	Input one or two feature tables and out comes the kernel distance matrix.
double	Impala::Application::GetAverage (Matrix::Mat *distanceMatrix)
	the average is broadcasted over all nodes
void	Impala::Application::WriteInfoFile (int columns, int rows, int partcount, String filepathname, Util::Database *db)
void	Impala::Application::WriteAverages (String filepathname, Util::Database *db, std::vector< double > averages)
void	Impala::Application::LoadAverages (RawDataSet *set, String filepathname, std::vector< double > &averages)
void	Impala::Application::WriteResult (String resultname, Util::Database *db, Matrix::Mat *accumulator)
int	Impala::Application::mainPrecomputeKernelMatrix (CmdOptions &options)
Matrix::Mat *	Impala::Application::CreateTestMat (int row, int column, int partCount, int totalSize)
void	Impala::Application::CreateTestQuids (String resultname, Util::Database *db, int part, int partCount, int totalSize)
int	Impala::Application::makeTestMatrix (CmdOptions &options)
int	main (int argc, char *argv[])

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