plssvm::openmp Namespace Reference

Namespace containing the C-SVM using the OpenMP backend. More...

Classes
class	csvm
	A C-SVM implementation using OpenMP as backend. More...
class	backend_exception
	Exception type thrown if a problem with the OpenMP backend occurs. More...

Functions
template<typename real_type >
void	device_kernel_q_linear (std::vector< real_type > &q, const std::vector< std::vector< real_type >> &data)
	Calculates the q vector using the linear C-SVM kernel. More...
template<typename real_type >
void	device_kernel_q_polynomial (std::vector< real_type > &q, const std::vector< std::vector< real_type >> &data, int degree, real_type gamma, real_type coef0)
	Calculates the q vector using the polynomial C-SVM kernel. More...
template<typename real_type >
void	device_kernel_q_rbf (std::vector< real_type > &q, const std::vector< std::vector< real_type >> &data, real_type gamma)
	Calculates the q vector using the radial basis functions C-SVM kernel. More...
template<typename real_type >
void	device_kernel_linear (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add)
	Calculates the C-SVM kernel using the linear kernel function. More...
template<typename real_type >
void	device_kernel_polynomial (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add, int degree, real_type gamma, real_type coef0)
	Calculates the C-SVM kernel using the polynomial kernel function. More...
template<typename real_type >
void	device_kernel_rbf (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add, real_type gamma)
	Calculates the C-SVM kernel using the radial basis function kernel function. More...

Detailed Description

Namespace containing the C-SVM using the OpenMP backend.

Function Documentation

device_kernel_q_linear()

template<typename real_type >

void plssvm::openmp::device_kernel_q_linear	(	std::vector< real_type > &	q,
		const std::vector< std::vector< real_type >> &	data
	)

Calculates the q vector using the linear C-SVM kernel.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data	the two-dimensional data matrix

device_kernel_q_polynomial()

template<typename real_type >

void plssvm::openmp::device_kernel_q_polynomial	(	std::vector< real_type > &	q,
		const std::vector< std::vector< real_type >> &	data,
		int	degree,
		real_type	gamma,
		real_type	coef0
	)

Calculates the q vector using the polynomial C-SVM kernel.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data	the two-dimensional data matrix
[in]	degree	the degree parameter used in the polynomial kernel function
[in]	gamma	the gamma parameter used in the polynomial kernel function
[in]	coef0	the coef0 parameter used in the polynomial kernel function

device_kernel_q_rbf()

template<typename real_type >

void plssvm::openmp::device_kernel_q_rbf	(	std::vector< real_type > &	q,
		const std::vector< std::vector< real_type >> &	data,
		real_type	gamma
	)

Calculates the q vector using the radial basis functions C-SVM kernel.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data	the two-dimensional data matrix
[in]	gamma	the gamma parameter used in the rbf kernel function

device_kernel_linear()

template<typename real_type >

void plssvm::openmp::device_kernel_linear	(	const std::vector< real_type > &	q,
		std::vector< real_type > &	ret,
		const std::vector< real_type > &	d,
		const std::vector< std::vector< real_type >> &	data,
		real_type	QA_cost,
		real_type	cost,
		real_type	add
	)

Calculates the C-SVM kernel using the linear kernel function.

Template Parameters

real_type

the type of the data

Parameters

[in]	q	the q vector
[out]	ret	the result vector
[in]	d	the right-hand side of the equation
[in]	data	the data matrix
[in]	QA_cost	he bottom right matrix entry multiplied by cost
[in]	cost	1 / the cost parameter in the C-SVM
[in]	add	denotes whether the values are added or subtracted from the result vector

device_kernel_polynomial()

template<typename real_type >

void plssvm::openmp::device_kernel_polynomial	(	const std::vector< real_type > &	q,
		std::vector< real_type > &	ret,
		const std::vector< real_type > &	d,
		const std::vector< std::vector< real_type >> &	data,
		real_type	QA_cost,
		real_type	cost,
		real_type	add,
		int	degree,
		real_type	gamma,
		real_type	coef0
	)

Calculates the C-SVM kernel using the polynomial kernel function.

Template Parameters

real_type

the type of the data

Parameters

[in]	q	the q vector
[out]	ret	the result vector
[in]	d	the right-hand side of the equation
[in]	data	the data matrix
[in]	QA_cost	the bottom right matrix entry multiplied by cost
[in]	cost	1 / the cost parameter in the C-SVM
[in]	add	denotes whether the values are added or subtracted from the result vector
[in]	degree	the degree parameter used in the polynomial kernel function
[in]	gamma	the gamma parameter used in the polynomial kernel function
[in]	coef0	the coef0 parameter used in the polynomial kernel function

device_kernel_rbf()

template<typename real_type >

void plssvm::openmp::device_kernel_rbf	(	const std::vector< real_type > &	q,
		std::vector< real_type > &	ret,
		const std::vector< real_type > &	d,
		const std::vector< std::vector< real_type >> &	data,
		real_type	QA_cost,
		real_type	cost,
		real_type	add,
		real_type	gamma
	)

Calculates the C-SVM kernel using the radial basis function kernel function.

Template Parameters

real_type

the type of the data

Parameters

[in]	q	the q vector
[out]	ret	the result vector
[in]	d	the right-hand side of the equation
[in]	data	the data matrix
[in]	QA_cost	he bottom right matrix entry multiplied by cost
[in]	cost	1 / the cost parameter in the C-SVM
[in]	add	denotes whether the values are added or subtracted from the result vector
[in]	gamma	the gamma parameter used in the rbf kernel function