Detailed Description

The Kernel distance takes a distance as input.

It turns a kernel into something distance like by computing

$d({\bf x}, {\bf x'}) = e^{-\frac{k({\bf x}, {\bf x'})}{width}}$

Definition at line 33 of file KernelDistance.h.

Inheritance diagram for CKernelDistance:

Public Member Functions
	CKernelDistance (void)
	CKernelDistance (float64_t width, CKernel *k)
	CKernelDistance (CFeatures l, CFeatures r, float64_t width, CKernel *k)
virtual	~CKernelDistance ()
virtual bool	init (CFeatures l, CFeatures r)
virtual EDistanceType	get_distance_type ()
virtual EFeatureType	get_feature_type ()
virtual EFeatureClass	get_feature_class ()
virtual const char *	get_name () const
virtual void	cleanup ()
Protected Member Functions
float64_t	compute (int32_t idx_a, int32_t idx_b)

Constructor & Destructor Documentation

CKernelDistance ( void )

default constructor

Definition at line 20 of file KernelDistance.cpp.

CKernelDistance	(	float64_t	width,
		CKernel *	k
	)

constructor

Parameters:

	cache	cache size
	width	width
	dist	distance

Definition at line 25 of file KernelDistance.cpp.

CKernelDistance	(	CFeatures *	l,
		CFeatures *	r,
		float64_t	width,
		CKernel *	k
	)

constructor

Parameters:

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

Definition at line 36 of file KernelDistance.cpp.

~CKernelDistance ( ) [virtual]

Definition at line 50 of file KernelDistance.cpp.

Member Function Documentation

virtual void cleanup ( ) [virtual]

clean up kernel

Implements CDistance.

Definition at line 93 of file KernelDistance.h.

float64_t 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 CDistance.

Definition at line 65 of file KernelDistance.cpp.

virtual EDistanceType get_distance_type ( ) [virtual]

return what type of kernel we are

Returns:: distance type DISTANCE

Implements CDistance.

Definition at line 71 of file KernelDistance.h.

virtual EFeatureClass get_feature_class ( ) [virtual]

return feature class the distance can deal with

Returns:: feature class of distance used

Implements CDistance.

Definition at line 82 of file KernelDistance.h.

virtual EFeatureType get_feature_type ( ) [virtual]

return feature type the distance can deal with

Returns:: feature type of distance used

Implements CDistance.

Definition at line 76 of file KernelDistance.h.

virtual const char* get_name ( void ) const [virtual]

return the distances's name

Returns:: name Distance

Implements CSGObject.

Definition at line 88 of file KernelDistance.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 CDistance.

Definition at line 58 of file KernelDistance.cpp.

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

CKernelDistance Class Reference

Detailed Description

Public Member Functions

Protected Member Functions

Constructor & Destructor Documentation

Member Function Documentation