CSparseGaussianKernel Class Reference

Inheritance diagram for CSparseGaussianKernel:

[legend]

List of all members.

Public Member Functions
	CSparseGaussianKernel (int32_t size, float64_t width)
	CSparseGaussianKernel (CSparseFeatures< float64_t > *l, CSparseFeatures< float64_t > *r, float64_t width)
virtual	~CSparseGaussianKernel ()
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 EFeatureType	get_feature_type ()
virtual const char *	get_name ()
Protected Member Functions
virtual float64_t	compute (int32_t idx_a, int32_t idx_b)
Protected Attributes
float64_t	width
float64_t *	sq_lhs
float64_t *	sq_rhs

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Detailed Description

The well known Gaussian kernel (swiss army knife for SVMs) on sparse real valued features is computed as

where is the kernel width.

Definition at line 27 of file SparseGaussianKernel.h.

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Constructor & Destructor Documentation

CSparseGaussianKernel::CSparseGaussianKernel	(	int32_t	size,
		float64_t	width
	)

constructor

Parameters:

	size	cache size
	width	width

Definition at line 17 of file SparseGaussianKernel.cpp.

CSparseGaussianKernel::CSparseGaussianKernel	(	CSparseFeatures< float64_t > *	l,
		CSparseFeatures< float64_t > *	r,
		float64_t	width
	)

constructor

Parameters:

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

Definition at line 22 of file SparseGaussianKernel.cpp.

CSparseGaussianKernel::~CSparseGaussianKernel

(

)

[virtual]

Definition at line 29 of file SparseGaussianKernel.cpp.

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Member Function Documentation

void CSparseGaussianKernel::cleanup

(

)

[virtual]

clean up kernel

Reimplemented from CKernel.

Definition at line 54 of file SparseGaussianKernel.cpp.

float64_t CSparseGaussianKernel::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 76 of file SparseGaussianKernel.cpp.

virtual EFeatureType CSparseGaussianKernel::get_feature_type

(

)

[virtual]

return feature type the kernel can deal with

Returns:

feature type DREAL

Reimplemented from CSparseKernel< float64_t >.

Definition at line 84 of file SparseGaussianKernel.h.

virtual EKernelType CSparseGaussianKernel::get_kernel_type

(

)

[virtual]

return what type of kernel we are

Returns:

kernel type SPARSEGAUSSIAN

Implements CKernel.

Definition at line 78 of file SparseGaussianKernel.h.

virtual const char* CSparseGaussianKernel::get_name

(

)

[virtual]

return the kernel's name

Returns:

name SparseGaussian

Implements CKernel.

Definition at line 90 of file SparseGaussianKernel.h.

bool CSparseGaussianKernel::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

free sq_{r,l}hs first

Reimplemented from CSparseKernel< float64_t >.

Definition at line 34 of file SparseGaussianKernel.cpp.

bool CSparseGaussianKernel::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 66 of file SparseGaussianKernel.cpp.

bool CSparseGaussianKernel::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 71 of file SparseGaussianKernel.cpp.

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Member Data Documentation

float64_t* CSparseGaussianKernel::sq_lhs [protected]

squared left-hand side

Definition at line 107 of file SparseGaussianKernel.h.

float64_t* CSparseGaussianKernel::sq_rhs [protected]

squared right-hand side

Definition at line 109 of file SparseGaussianKernel.h.

float64_t CSparseGaussianKernel::width [protected]

width

Definition at line 105 of file SparseGaussianKernel.h.

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

• SparseGaussianKernel.h
• SparseGaussianKernel.cpp