#include <yat/classifier/Kernel_MEV.h>

Inheritance diagram for theplu::yat::classifier::Kernel_MEV:

Public Member Functions
	Kernel_MEV (const MatrixLookup &data, const KernelFunction &kf, const bool own=false)

	Kernel_MEV (const MatrixLookupWeighted &data, const KernelFunction &kf, const bool own=false)

	Kernel_MEV (const Kernel_MEV &kernel, const std::vector< size_t > &index)

double	operator() (const size_t row, const size_t column) const

const Kernel_MEV *	make_kernel (const MatrixLookup &, const bool own=false) const

const Kernel_MEV *	make_kernel (const MatrixLookupWeighted &, const bool own=false) const

const MatrixLookup &	data (void) const

const MatrixLookupWeighted &	data_weighted (void) const

double	element (const DataLookup1D &vec, const size_t i) const

double	element (const DataLookupWeighted1D &vec, const size_t i) const

size_t	size (void) const
	number of samples

bool	weighted (void) const

Protected Attributes
const MatrixLookup *	ml_
	underlying data

const MatrixLookupWeighted *	mlw_
	same as data_ if weifghted otherwise a NULL pointer

const KernelFunction *	kf_
	type of Kernel Function e.g. Gaussian (aka RBF)

unsigned int *	ref_count_

unsigned int *	ref_count_w_

Detailed Description

Memory Efficient Kernel.

Class taking care of the $ NxN $ kernel matrix, where $ N $ is number of samples. Type of Kernel is defined by a KernelFunction. This Memory Efficient Version (MEV) does not store the kernel matrix in memory, but calculates an element when it is needed. When memory allows do always use Kernel_SEV instead.

Constructor & Destructor Documentation

theplu::yat::classifier::Kernel_MEV::Kernel_MEV	(	const MatrixLookup &	data,
		const KernelFunction &	kf,
		const bool	own = `false`
	)

Constructor taking the data matrix and KernelFunction as input. Each column in the data matrix corresponds to one sample.

Note: Can not handle NaNs.

theplu::yat::classifier::Kernel_MEV::Kernel_MEV	(	const MatrixLookupWeighted &	data,
		const KernelFunction &	kf,
		const bool	own = `false`
	)

Constructor taking the data matrix and KernelFunction as input. Each column in the data matrix corresponds to one sample.

Note: Can not handle NaNs.

theplu::yat::classifier::Kernel_MEV::Kernel_MEV	(	const Kernel_MEV &	kernel,
		const std::vector< size_t > &	index
	)

Constructing a new Kernel based on selected features index. All other seeting are the same.

Member Function Documentation

const MatrixLookup& theplu::yat::classifier::Kernel::data ( void ) const

inherited

Returns: const reference to the underlying data.

Exceptions

if	data is weighted

const MatrixLookupWeighted& theplu::yat::classifier::Kernel::data_weighted ( void ) const

inherited

Returns: const reference to the underlying data.

Exceptions

if	data is unweighted

double theplu::yat::classifier::Kernel::element	(	const DataLookup1D &	vec,
		const size_t	i
	)		const

inherited

Calculates the scalar product (using the KernelFunction) between vector vec and the $ i $ th column in the data matrix.

double theplu::yat::classifier::Kernel::element	(	const DataLookupWeighted1D &	vec,
		const size_t	i
	)		const

inherited

Calculates the weighted scalar product (using the KernelFunction) between vector vec and the $ i $ th column in the data matrix. Using a weight vector with all elements equal to unity yields same result as the non-weighted version above.

const Kernel_MEV* theplu::yat::classifier::Kernel_MEV::make_kernel	(	const MatrixLookup &	,
		const bool	own = `false`
	)		const

virtual

An interface for making new classifier objects. This function allows for specification at run-time of which kernel to instatiate (see 'Prototype' in Design Patterns).

Note: Returns a dynamically allocated Kernel, which has to be deleted by the caller to avoid memory leaks.

Implements theplu::yat::classifier::Kernel.

const Kernel_MEV* theplu::yat::classifier::Kernel_MEV::make_kernel	(	const MatrixLookupWeighted &	,
		const bool	own = `false`
	)		const

virtual

An interface for making new classifier objects. This function allows for specification at run-time of which kernel to instatiate (see 'Prototype' in Design Patterns).

Note: Returns a dynamically allocated Kernel, which has to be deleted by the caller to avoid memory leaks.

Implements theplu::yat::classifier::Kernel.

double theplu::yat::classifier::Kernel_MEV::operator()	(	const size_t	row,
		const size_t	column
	)		const

virtual

Returns: Element at position (row, column) of the Kernel matrix

Implements theplu::yat::classifier::Kernel.

bool theplu::yat::classifier::Kernel::weighted ( void ) const

inherited

Returns: true if kernel is calculated using weights

Member Data Documentation

unsigned int* theplu::yat::classifier::Kernel::ref_count_

protectedinherited

pointer telling how many owners to underlying data (data_). NULL if this is not an owner.

unsigned int* theplu::yat::classifier::Kernel::ref_count_w_

protectedinherited

pointer telling how many owners to underlying weights (data_w_). NULL if this is not an owner.

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

yat/classifier/Kernel_MEV.h

Public Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation