McSvmLinear.cpp File Reference

#include <shark/Data/Dataset.h>
#include <shark/Models/LinearClassifier.h>
#include <shark/Algorithms/Trainers/CSvmTrainer.h>
#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>
#include <shark/Data/DataDistribution.h>
#include <shark/Algorithms/Trainers/McSvmOVATrainer.h>

Go to the source code of this file.

Typedefs
typedef CompressedRealVector	VectorType
typedef CompressedRealMatrix	MatrixType
typedef CompressedRealMatrixRow	RowType

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

Variables
double const	noise = 1.0

Typedef Documentation

MatrixType

typedef CompressedRealMatrix MatrixType

Definition at line 14 of file McSvmLinear.cpp.

RowType

typedef CompressedRealMatrixRow RowType

Definition at line 15 of file McSvmLinear.cpp.

VectorType

typedef CompressedRealVector VectorType

Definition at line 13 of file McSvmLinear.cpp.

Function Documentation

main()

int main	(	int	argc,
		char **	argv
	)

Definition at line 35 of file McSvmLinear.cpp.

References shark::ZeroOneLoss< LabelType, OutputType >::eval(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), and shark::LinearMcSvmOVATrainer< InputType >::train().

Variable Documentation

noise

double const noise = 1.0

Definition at line 12 of file McSvmLinear.cpp.

Referenced by shark::CrossEntropyMethod::ConstantNoise::ConstantNoise(), and trainAutoencoderModel().