Detailed Description

Computes the standard linear kernel on CDotFeatures.

Formally, it computes

$k({\bf x},{\bf x'})= {\bf x}\cdot {\bf x'}$

Definition at line 33 of file LinearKernel.h.

Inheritance diagram for CLinearKernel:

Public Member Functions
	CLinearKernel ()
	CLinearKernel (CDotFeatures l, CDotFeatures r)
virtual	~CLinearKernel ()
virtual bool	init (CFeatures l, CFeatures r)
virtual void	cleanup ()
virtual EKernelType	get_kernel_type ()
virtual const char *	get_name () const
virtual bool	init_optimization (int32_t num_suppvec, int32_t sv_idx, float64_t alphas)
virtual bool	init_optimization (CKernelMachine *km)
virtual bool	delete_optimization ()
virtual float64_t	compute_optimized (int32_t idx)
virtual void	clear_normal ()
virtual void	add_to_normal (int32_t idx, float64_t weight)
const float64_t *	get_normal (int32_t &len)
void	get_w (float64_t *dst_w, int32_t dst_dims)
void	set_w (float64_t *src_w, int32_t src_w_dim)
Public Member Functions inherited from CDotKernel
	CDotKernel ()
	CDotKernel (int32_t cachesize)
	CDotKernel (CFeatures l, CFeatures r)
virtual EFeatureClass	get_feature_class ()
virtual EFeatureType	get_feature_type ()
Public Member Functions inherited from CKernel
	CKernel ()
	CKernel (int32_t size)
	CKernel (CFeatures l, CFeatures r, int32_t size)
virtual	~CKernel ()
float64_t	kernel (int32_t idx_a, int32_t idx_b)
SGMatrix< float64_t >	get_kernel_matrix ()
virtual SGVector< float64_t >	get_kernel_col (int32_t j)
virtual SGVector< float64_t >	get_kernel_row (int32_t i)
template<class T >
SGMatrix< T >	get_kernel_matrix ()
virtual bool	set_normalizer (CKernelNormalizer *normalizer)
virtual CKernelNormalizer *	get_normalizer ()
virtual bool	init_normalizer ()
void	load (CFile *loader)
void	save (CFile *writer)
CFeatures *	get_lhs ()
CFeatures *	get_rhs ()
virtual int32_t	get_num_vec_lhs ()
virtual int32_t	get_num_vec_rhs ()
virtual bool	has_features ()
bool	get_lhs_equals_rhs ()
virtual void	remove_lhs_and_rhs ()
virtual void	remove_lhs ()
virtual void	remove_rhs ()
	takes all necessary steps if the rhs is removed from kernel
void	set_cache_size (int32_t size)
int32_t	get_cache_size ()
void	list_kernel ()
bool	has_property (EKernelProperty p)
EOptimizationType	get_optimization_type ()
virtual void	set_optimization_type (EOptimizationType t)
bool	get_is_initialized ()
bool	init_optimization_svm (CSVM *svm)
virtual void	compute_batch (int32_t num_vec, int32_t vec_idx, float64_t target, int32_t num_suppvec, int32_t IDX, float64_t alphas, float64_t factor=1.0)
float64_t	get_combined_kernel_weight ()
void	set_combined_kernel_weight (float64_t nw)
virtual int32_t	get_num_subkernels ()
virtual void	compute_by_subkernel (int32_t vector_idx, float64_t *subkernel_contrib)
virtual const float64_t *	get_subkernel_weights (int32_t &num_weights)
virtual void	set_subkernel_weights (SGVector< float64_t > weights)
Public Member Functions inherited from CSGObject
	CSGObject ()
	CSGObject (const CSGObject &orig)
virtual	~CSGObject ()
virtual bool	is_generic (EPrimitiveType *generic) const
template<class T >
void	set_generic ()
void	unset_generic ()
virtual void	print_serializable (const char *prefix="")
virtual bool	save_serializable (CSerializableFile file, const char prefix="")
virtual bool	load_serializable (CSerializableFile file, const char prefix="")
void	set_global_io (SGIO *io)
SGIO *	get_global_io ()
void	set_global_parallel (Parallel *parallel)
Parallel *	get_global_parallel ()
void	set_global_version (Version *version)
Version *	get_global_version ()
SGVector< char * >	get_modelsel_names ()
char *	get_modsel_param_descr (const char *param_name)
index_t	get_modsel_param_index (const char *param_name)

Protected Attributes
float64_t *	normal
int32_t	normal_length

Additional Inherited Members
Public Attributes inherited from CSGObject
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters
Protected Member Functions inherited from CDotKernel
virtual float64_t	compute (int32_t idx_a, int32_t idx_b)
Static Protected Member Functions inherited from CKernel
template<class T >
static void *	get_kernel_matrix_helper (void *p)

Constructor & Destructor Documentation

CLinearKernel ( )

constructor

Definition at line 20 of file LinearKernel.cpp.

CLinearKernel	(	CDotFeatures *	l,
		CDotFeatures *	r
	)

constructor

Parameters

l	features of left-hand side
r	features of right-hand side

Definition at line 26 of file LinearKernel.cpp.

~CLinearKernel ( )

virtual

Definition at line 33 of file LinearKernel.cpp.

Member Function Documentation

void add_to_normal	(	int32_t	idx,
		float64_t	weight
	)

virtual

add to normal vector

Parameters

idx	where to add
weight	what to add

Reimplemented from CKernel.

Definition at line 66 of file LinearKernel.cpp.

void cleanup ( )

virtual

clean up kernel

Reimplemented from CKernel.

Definition at line 45 of file LinearKernel.cpp.

void clear_normal ( )

virtual

clear normal vector

Reimplemented from CKernel.

Definition at line 52 of file LinearKernel.cpp.

float64_t compute_optimized ( int32_t idx )

virtual

compute optimized

Parameters

idx	index to compute

Returns: optimized value at given index

Reimplemented from CKernel.

Definition at line 108 of file LinearKernel.cpp.

bool delete_optimization ( )

virtual

delete optimization

Returns: if deleting was successful

Reimplemented from CKernel.

Definition at line 98 of file LinearKernel.cpp.

virtual EKernelType get_kernel_type ( )

virtual

return what type of kernel we are

Returns: kernel type LINEAR

Implements CDotKernel.

Definition at line 64 of file LinearKernel.h.

virtual const char* get_name ( ) const

virtual

return the kernel's name

Returns: name Lineaer

Reimplemented from CDotKernel.

Definition at line 70 of file LinearKernel.h.

const float64_t* get_normal ( int32_t & len )

get normal

Parameters

len	where length of normal vector will be stored

Returns: normal vector

Definition at line 116 of file LinearKernel.h.

void get_w	(	float64_t **	dst_w,
		int32_t *	dst_dims
	)

get normal vector (swig compatible)

Parameters

dst_w	store w in this argument
dst_dims	dimension of w

Definition at line 135 of file LinearKernel.h.

bool init	(	CFeatures *	l,
		CFeatures *	r
	)

virtual

initialize kernel

Parameters

l	features of left-hand side
r	features of right-hand side

Returns: if initializing was successful

Reimplemented from CDotKernel.

Definition at line 38 of file LinearKernel.cpp.

bool init_optimization	(	int32_t	num_suppvec,
		int32_t *	sv_idx,
		float64_t *	alphas
	)

virtual

optimizable kernel, i.e. precompute normal vector and as phi(x) = x do scalar product in input space

Parameters

num_suppvec	number of support vectors
sv_idx	support vector index
alphas	alphas

Returns: if optimization was successful

Reimplemented from CKernel.

Definition at line 73 of file LinearKernel.cpp.

bool init_optimization ( CKernelMachine * km )

virtual

init optimization

Parameters

km

Definition at line 85 of file LinearKernel.cpp.

void set_w	(	float64_t *	src_w,
		int32_t	src_w_dim
	)

set normal vector (swig compatible)

Parameters

src_w	new w
src_w_dim	dimension of new w - must fit dim of lhs

Definition at line 151 of file LinearKernel.h.

Member Data Documentation

float64_t* normal

protected

normal vector (used in case of optimized kernel)

Definition at line 160 of file LinearKernel.h.

int32_t normal_length

protected

length of normal vector

Definition at line 162 of file LinearKernel.h.

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

Detailed Description

Public Member Functions

Protected Attributes

Additional Inherited Members

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation