CSparseLinearKernel Class Reference

Inheritance diagram for CSparseLinearKernel:

[legend]

List of all members.

Public Member Functions
	CSparseLinearKernel ()
	CSparseLinearKernel (CSparseFeatures< float64_t > *l, CSparseFeatures< float64_t > *r)
virtual	~CSparseLinearKernel ()
virtual bool	init (CFeatures *l, CFeatures *r)
virtual void	cleanup ()
virtual bool	load_init (FILE *src)
virtual bool	save_init (FILE *dest)
virtual EKernelType	get_kernel_type ()
virtual const char *	get_name ()
virtual bool	init_optimization (int32_t num_suppvec, int32_t *sv_idx, float64_t *alphas)
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)
Protected Member Functions
virtual float64_t	compute (int32_t idx_a, int32_t idx_b)
Protected Attributes
float64_t *	normal
int32_t	normal_length

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Detailed Description

Computes the standard linear kernel on sparse real valued features

Definition at line 24 of file SparseLinearKernel.h.

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Constructor & Destructor Documentation

CSparseLinearKernel::CSparseLinearKernel

(

)

constructor

Definition at line 18 of file SparseLinearKernel.cpp.

CSparseLinearKernel::CSparseLinearKernel	(	CSparseFeatures< float64_t > *	l,
		CSparseFeatures< float64_t > *	r
	)

constructor

Parameters:

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

Definition at line 24 of file SparseLinearKernel.cpp.

CSparseLinearKernel::~CSparseLinearKernel

(

)

[virtual]

Definition at line 32 of file SparseLinearKernel.cpp.

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Member Function Documentation

void CSparseLinearKernel::add_to_normal	(	int32_t	idx,
		float64_t	weight
	)			[virtual]

add to normal

Parameters:

	idx	where to add
	weight	what to add

Reimplemented from CKernel.

Definition at line 73 of file SparseLinearKernel.cpp.

void CSparseLinearKernel::cleanup

(

)

[virtual]

clean up kernel

Reimplemented from CKernel.

Definition at line 43 of file SparseLinearKernel.cpp.

void CSparseLinearKernel::clear_normal

(

)

[virtual]

clear normal

Reimplemented from CKernel.

Definition at line 60 of file SparseLinearKernel.cpp.

float64_t CSparseLinearKernel::compute	(	int32_t	idx_a,
		int32_t	idx_b
	)			[protected, virtual]

compute kernel function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object

Parameters:

	idx_a	index a
	idx_b	index b

Returns:

computed kernel function at indices a,b

Implements CKernel.

Definition at line 80 of file SparseLinearKernel.cpp.

float64_t CSparseLinearKernel::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 123 of file SparseLinearKernel.cpp.

bool CSparseLinearKernel::delete_optimization

(

)

[virtual]

delete optimization

Returns:

if deleting was successful

Reimplemented from CKernel.

Definition at line 113 of file SparseLinearKernel.cpp.

virtual EKernelType CSparseLinearKernel::get_kernel_type

(

)

[virtual]

return what type of kernel we are

Returns:

kernel type SPARSELINEAR

Implements CKernel.

Definition at line 70 of file SparseLinearKernel.h.

virtual const char* CSparseLinearKernel::get_name

(

)

[virtual]

return the kernel's name

Returns:

name FixedDegree

Implements CKernel.

Definition at line 76 of file SparseLinearKernel.h.

const float64_t* CSparseLinearKernel::get_normal

(

int32_t &

len

)

get normal

Parameters:

len

length of normal vector will be stored here

Returns:

the normal vector

Definition at line 117 of file SparseLinearKernel.h.

bool CSparseLinearKernel::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 CSparseKernel< float64_t >.

Definition at line 37 of file SparseLinearKernel.cpp.

bool CSparseLinearKernel::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 101 of file SparseLinearKernel.cpp.

bool CSparseLinearKernel::load_init

(

FILE *

src

)

[virtual]

load kernel init_data

Parameters:

src

file to load from

Returns:

if loading was successful

Implements CKernel.

Definition at line 50 of file SparseLinearKernel.cpp.

bool CSparseLinearKernel::save_init

(

FILE *

dest

)

[virtual]

save kernel init_data

Parameters:

dest

file to save to

Returns:

if saving was successful

Implements CKernel.

Definition at line 55 of file SparseLinearKernel.cpp.

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Member Data Documentation

float64_t* CSparseLinearKernel::normal [protected]

normal vector (used in case of optimized kernel)

Definition at line 136 of file SparseLinearKernel.h.

int32_t CSparseLinearKernel::normal_length [protected]

length of normal vector

Definition at line 138 of file SparseLinearKernel.h.

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

• SparseLinearKernel.h
• SparseLinearKernel.cpp