Detailed Description

A generic KernelMachine interface.

A kernel machine is defined as

$f({\bf x})=\sum_{i=0}^{N-1} \alpha_i k({\bf x}, {\bf x_i})+b$

where $N$ is the number of training examples $\alpha_i$ are the weights assigned to each training example $k(x,x')$ is the kernel and $b$ the bias.

Using an a-priori choosen kernel, the $\alpha_i$ and bias are determined in a training procedure.

Definition at line 43 of file KernelMachine.h.

Inheritance diagram for CKernelMachine:

[legend]

List of all members.

Public Member Functions
	CKernelMachine ()
virtual	~CKernelMachine ()
virtual const char *	get_name (void) const
void	set_kernel (CKernel *k)
CKernel *	get_kernel ()
void	set_batch_computation_enabled (bool enable)
bool	get_batch_computation_enabled ()
void	set_linadd_enabled (bool enable)
bool	get_linadd_enabled ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
float64_t	get_bias ()
void	set_bias (float64_t bias)
int32_t	get_support_vector (int32_t idx)
float64_t	get_alpha (int32_t idx)
bool	set_support_vector (int32_t idx, int32_t val)
bool	set_alpha (int32_t idx, float64_t val)
int32_t	get_num_support_vectors ()
void	set_alphas (SGVector< float64_t > alphas)
void	set_support_vectors (SGVector< int32_t > svs)
SGVector< int32_t >	get_support_vectors ()
SGVector< float64_t >	get_alphas ()
bool	create_new_model (int32_t num)
bool	init_kernel_optimization ()
virtual CLabels *	apply ()
virtual CLabels *	apply (CFeatures *data)
virtual float64_t	apply (int32_t num)
Static Public Member Functions
static void *	apply_helper (void *p)
Protected Member Functions
virtual void	store_model_features ()
Protected Attributes
CKernel *	kernel
bool	use_batch_computation
bool	use_linadd
bool	use_bias
float64_t	m_bias
SGVector< float64_t >	m_alpha
SGVector< int32_t >	m_svs

Constructor & Destructor Documentation

CKernelMachine ( )

default constructor

Definition at line 28 of file KernelMachine.cpp.

~CKernelMachine ( ) [virtual]

destructor

Definition at line 44 of file KernelMachine.cpp.

Member Function Documentation

CLabels * apply ( ) [virtual]

apply kernel machine to all objects

Returns:: result labels

Implements CMachine.

Reimplemented in CMultiClassSVM, and CKRR.

Definition at line 83 of file KernelMachine.cpp.

CLabels * apply ( CFeatures * data ) [virtual]

apply kernel machine to data

Parameters:

data

(test)data to be classified

Returns:: classified labels

Implements CMachine.

Reimplemented in CDomainAdaptationSVM, and CMultiClassSVM.

Definition at line 222 of file KernelMachine.cpp.

float64_t apply ( int32_t num ) [virtual]

apply kernel machine to one example

Parameters:

num

which example to apply to

Returns:: classified value

Reimplemented from CMachine.

Reimplemented in CMultiClassSVM, CScatterSVM, and CKRR.

Definition at line 202 of file KernelMachine.cpp.

void * apply_helper ( void * p ) [static]

apply example helper, used in threads

Parameters:

p

params of the thread

Returns:: nothing really

Definition at line 239 of file KernelMachine.cpp.

bool create_new_model ( int32_t num )

create new model

Parameters:

num

number of alphas and support vectors in new model

Definition at line 271 of file KernelMachine.h.

float64_t get_alpha ( int32_t idx )

get alpha at given index

Parameters:

idx

index of alpha

Returns:: alpha

Definition at line 163 of file KernelMachine.h.

SGVector<float64_t> get_alphas ( )

get all alphas

Definition at line 252 of file KernelMachine.h.

bool get_batch_computation_enabled ( )

check if batch computation is enabled

Returns:: if batch computation is enabled

Definition at line 94 of file KernelMachine.h.

float64_t get_bias ( )

get bias

Returns:: bias

Definition at line 133 of file KernelMachine.h.

bool get_bias_enabled ( )

get state of bias

Returns:: state of bias

Definition at line 127 of file KernelMachine.h.

CKernel* get_kernel ( )

get kernel

Returns:: kernel

Definition at line 75 of file KernelMachine.h.

bool get_linadd_enabled ( )

check if linadd is enabled

Returns:: if linadd is enabled

Definition at line 112 of file KernelMachine.h.

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

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

Returns:: name of the SGSerializable

Implements CSGObject.

Reimplemented in CMKL, CDomainAdaptationSVM, CGMNPSVM, CGNPPSVM, CGPBTSVM, CLaRank, CLibSVM, CLibSVMMultiClass, CLibSVMOneClass, CMPDSVM, CScatterSVM, CSVM, CSVMLight, CKRR, CLibSVR, and CSVRLight.

Definition at line 57 of file KernelMachine.h.

int32_t get_num_support_vectors ( )

get number of support vectors

Returns:: number of support vectors

Definition at line 208 of file KernelMachine.h.

int32_t get_support_vector ( int32_t idx )

get support vector at given index

Parameters:

idx

index of support vector

Returns:: support vector

Definition at line 152 of file KernelMachine.h.

SGVector<int32_t> get_support_vectors ( )

get all support vectors

Definition at line 234 of file KernelMachine.h.

bool init_kernel_optimization ( )

initialise kernel optimisation

Returns:: if operation was successful

Definition at line 52 of file KernelMachine.cpp.

bool set_alpha	(	int32_t	idx,
		float64_t	val
	)

set alpha at given index to given value

Parameters:

	idx	index of alpha vector
	val	new value of alpha vector

Returns:: if operation was successful

Definition at line 194 of file KernelMachine.h.

void set_alphas ( SGVector< float64_t > alphas )

set alphas to given values

Parameters:

alphas

float vector with all alphas to set

Definition at line 217 of file KernelMachine.h.

void set_batch_computation_enabled ( bool enable )

set batch computation enabled

Parameters:

enable

if batch computation shall be enabled

Definition at line 85 of file KernelMachine.h.

void set_bias ( float64_t bias )

set bias to given value

Parameters:

bias

new bias

Definition at line 142 of file KernelMachine.h.

void set_bias_enabled ( bool enable_bias )

set state of bias

Parameters:

enable_bias

if bias shall be enabled

Definition at line 121 of file KernelMachine.h.

void set_kernel ( CKernel * k )

set kernel

Parameters:

k

kernel

Definition at line 64 of file KernelMachine.h.

void set_linadd_enabled ( bool enable )

set linadd enabled

Parameters:

enable

if linadd shall be enabled

Definition at line 103 of file KernelMachine.h.

bool set_support_vector	(	int32_t	idx,
		int32_t	val
	)

set support vector at given index to given value

Parameters:

	idx	index of support vector
	val	new value of support vector

Returns:: if operation was successful

Definition at line 178 of file KernelMachine.h.

void set_support_vectors ( SGVector< int32_t > svs )

set support vectors to given values

Parameters:

svs

integer vector with all support vectors indexes to set

Definition at line 226 of file KernelMachine.h.

void store_model_features ( ) [protected, virtual]

Stores feature data of the SV indices and sets it to the lhs of the underlying kernel. Then, all SV indices are set to identity.

Reimplemented from CMachine.

Definition at line 266 of file KernelMachine.cpp.

Member Data Documentation

CKernel* kernel [protected]

kernel

Definition at line 329 of file KernelMachine.h.

SGVector<float64_t> m_alpha [protected]

coefficients alpha

Definition at line 340 of file KernelMachine.h.

float64_t m_bias [protected]

bias term b

Definition at line 337 of file KernelMachine.h.

SGVector<int32_t> m_svs [protected]

array of ``support vectors'' (indices of feature objects)

Definition at line 343 of file KernelMachine.h.

bool use_batch_computation [protected]

if batch computation is enabled

Definition at line 331 of file KernelMachine.h.

bool use_bias [protected]

if bias shall be used

Definition at line 335 of file KernelMachine.h.

bool use_linadd [protected]

if linadd is enabled

Definition at line 333 of file KernelMachine.h.

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

CKernelMachine Class Reference

Detailed Description

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation