Efficient special case if the kernel is Gaussian and the inputs are sparse vectors. More...

#include <shark/LinAlg/GaussianKernelMatrix.h>

Public Types
typedef CacheType	QpFloatType

typedef T	InputType

Public Member Functions
	GaussianKernelMatrix (double gamma, Data< InputType > const &data)

QpFloatType	operator() (std::size_t i, std::size_t j) const
	return a single matrix entry More...

QpFloatType	entry (std::size_t i, std::size_t j) const
	return a single matrix entry More...

void	row (std::size_t i, std::size_t start, std::size_t end, QpFloatType *storage) const
	Computes the i-th row of the kernel matrix. More...

template<class M >
void	matrix (blas::matrix_expression< M, blas::cpu_tag > &storage) const
	Computes the kernel-matrix. More...

void	flipColumnsAndRows (std::size_t i, std::size_t j)
	swap two variables More...

std::size_t	size () const
	return the size of the quadratic matrix More...

unsigned long long	getAccessCount () const
	query the kernel access counter More...

void	resetAccessCount ()
	reset the kernel access counter More...

Protected Types
typedef Data< InputType >::const_element_range::iterator	PointerType

Protected Attributes
std::vector< PointerType >	x
	Array of data pointers for kernel evaluations. More...

RealVector	m_squaredNorms

double	m_gamma

unsigned long long	m_accessCounter
	counter for the kernel accesses More...

Detailed Description

template<class T, class CacheType>
class shark::GaussianKernelMatrix< T, CacheType >

Efficient special case if the kernel is Gaussian and the inputs are sparse vectors.

Definition at line 54 of file GaussianKernelMatrix.h.

Member Typedef Documentation

◆ InputType

template<class T, class CacheType>

typedef T shark::GaussianKernelMatrix< T, CacheType >::InputType

Definition at line 59 of file GaussianKernelMatrix.h.

◆ PointerType

template<class T, class CacheType>

typedef Data<InputType>::const_element_range::iterator shark::GaussianKernelMatrix< T, CacheType >::PointerType

protected

Definition at line 140 of file GaussianKernelMatrix.h.

◆ QpFloatType

template<class T, class CacheType>

typedef CacheType shark::GaussianKernelMatrix< T, CacheType >::QpFloatType

Definition at line 58 of file GaussianKernelMatrix.h.

Constructor & Destructor Documentation

◆ GaussianKernelMatrix()

template<class T, class CacheType>

shark::GaussianKernelMatrix< T, CacheType >::GaussianKernelMatrix	(	double	gamma,
		Data< InputType > const &	data
	)

inline

Constructor

Parameters

gamma	bandwidth parameter of Gaussian kernel
data	data evaluated by the kernel function

Definition at line 64 of file GaussianKernelMatrix.h.

References shark::Data< Type >::elements(), shark::GaussianKernelMatrix< T, CacheType >::m_squaredNorms, shark::Data< Type >::numberOfElements(), and shark::GaussianKernelMatrix< T, CacheType >::x.

Member Function Documentation

◆ entry()

template<class T, class CacheType>

QpFloatType shark::GaussianKernelMatrix< T, CacheType >::entry	(	std::size_t	i,
		std::size_t	j
	)		const

inline

return a single matrix entry

Definition at line 86 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::m_accessCounter.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::operator()().

◆ flipColumnsAndRows()

template<class T, class CacheType>

void shark::GaussianKernelMatrix< T, CacheType >::flipColumnsAndRows	(	std::size_t	i,
		std::size_t	j
	)

inline

swap two variables

Definition at line 119 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::m_squaredNorms, shark::swap(), and shark::GaussianKernelMatrix< T, CacheType >::x.

◆ getAccessCount()

template<class T, class CacheType>

unsigned long long shark::GaussianKernelMatrix< T, CacheType >::getAccessCount ( ) const

inline

query the kernel access counter

Definition at line 130 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::m_accessCounter.

◆ matrix()

template<class T, class CacheType>

template<class M >

void shark::GaussianKernelMatrix< T, CacheType >::matrix ( blas::matrix_expression< M, blas::cpu_tag > & storage ) const

inline

Computes the kernel-matrix.

Definition at line 110 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::row(), and shark::GaussianKernelMatrix< T, CacheType >::size().

◆ operator()()

template<class T, class CacheType>

QpFloatType shark::GaussianKernelMatrix< T, CacheType >::operator()	(	std::size_t	i,
		std::size_t	j
	)		const

inline

return a single matrix entry

Definition at line 82 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::entry().

◆ resetAccessCount()

template<class T, class CacheType>

void shark::GaussianKernelMatrix< T, CacheType >::resetAccessCount ( )

inline

reset the kernel access counter

Definition at line 134 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::m_accessCounter.

◆ row()

template<class T, class CacheType>

void shark::GaussianKernelMatrix< T, CacheType >::row	(	std::size_t	i,
		std::size_t	start,
		std::size_t	end,
		QpFloatType *	storage
	)		const

inline

Computes the i-th row of the kernel matrix.

The entries start,...,end of the i-th row are computed and stored in storage. There must be enough room for this operation preallocated.

Definition at line 97 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::m_accessCounter, SHARK_PARALLEL_FOR, and shark::GaussianKernelMatrix< T, CacheType >::x.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::matrix().

◆ size()

template<class T, class CacheType>

std::size_t shark::GaussianKernelMatrix< T, CacheType >::size ( ) const

inline

return the size of the quadratic matrix

Definition at line 126 of file GaussianKernelMatrix.h.

References shark::GaussianKernelMatrix< T, CacheType >::x.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::matrix().

Member Data Documentation

◆ m_accessCounter

template<class T, class CacheType>

unsigned long long shark::GaussianKernelMatrix< T, CacheType >::m_accessCounter

mutableprotected

counter for the kernel accesses

Definition at line 149 of file GaussianKernelMatrix.h.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::entry(), shark::GaussianKernelMatrix< T, CacheType >::getAccessCount(), shark::GaussianKernelMatrix< T, CacheType >::resetAccessCount(), and shark::GaussianKernelMatrix< T, CacheType >::row().

◆ m_gamma

template<class T, class CacheType>

double shark::GaussianKernelMatrix< T, CacheType >::m_gamma

protected

Definition at line 146 of file GaussianKernelMatrix.h.

◆ m_squaredNorms

template<class T, class CacheType>

RealVector shark::GaussianKernelMatrix< T, CacheType >::m_squaredNorms

protected

Definition at line 144 of file GaussianKernelMatrix.h.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::flipColumnsAndRows(), and shark::GaussianKernelMatrix< T, CacheType >::GaussianKernelMatrix().

◆ x

template<class T, class CacheType>

std::vector<PointerType> shark::GaussianKernelMatrix< T, CacheType >::x

protected

Array of data pointers for kernel evaluations.

Definition at line 142 of file GaussianKernelMatrix.h.

Referenced by shark::GaussianKernelMatrix< T, CacheType >::flipColumnsAndRows(), shark::GaussianKernelMatrix< T, CacheType >::GaussianKernelMatrix(), shark::GaussianKernelMatrix< T, CacheType >::row(), and shark::GaussianKernelMatrix< T, CacheType >::size().

The documentation for this class was generated from the following file:

include/shark/LinAlg/GaussianKernelMatrix.h

Public Types

Public Member Functions

Protected Types

Protected Attributes

Detailed Description

template<class T, class CacheType> class shark::GaussianKernelMatrix< T, CacheType >

Member Typedef Documentation

◆ InputType

◆ PointerType

◆ QpFloatType

Constructor & Destructor Documentation

◆ GaussianKernelMatrix()

Member Function Documentation

◆ entry()

◆ flipColumnsAndRows()

◆ getAccessCount()

◆ matrix()

◆ operator()()

◆ resetAccessCount()

◆ row()

◆ size()

Member Data Documentation

◆ m_accessCounter

◆ m_gamma

◆ m_squaredNorms

◆ x

template<class T, class CacheType>
class shark::GaussianKernelMatrix< T, CacheType >