CDomainAdaptationSVM Class Reference

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Detailed Description

class DomainAdaptiveSVM

Definition at line 23 of file DomainAdaptationSVM.h.

Inheritance diagram for CDomainAdaptationSVM:

List of all members.

Public Member Functions
	CDomainAdaptationSVM ()
	CDomainAdaptationSVM (float64_t C, CKernel *k, CLabels *lab, CSVM *presvm, float64_t B)
virtual	~CDomainAdaptationSVM ()
void	init (CSVM *presvm, float64_t B)
virtual bool	train (CFeatures *data=NULL)
virtual EClassifierType	get_classifier_type ()
virtual CLabels *	classify (CFeatures *data)
virtual CSVM *	get_presvm ()
virtual float64_t	get_B ()
virtual float64_t	get_train_factor ()
virtual void	set_train_factor (float64_t factor)
virtual const char *	get_name () const
Protected Member Functions
virtual bool	is_presvm_sane ()
Protected Attributes
CSVM *	presvm
float64_t	B
float64_t	train_factor

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Constructor & Destructor Documentation

CDomainAdaptationSVM

(

)

default constructor

Definition at line 22 of file DomainAdaptationSVM.cpp.

CDomainAdaptationSVM	(	float64_t	C,
		CKernel *	k,
		CLabels *	lab,
		CSVM *	presvm,
		float64_t	B
	)

constructor

Parameters:

	C	cost constant C
	k	kernel
	lab	labels
	presvm	trained SVM to regularize against
	B	trade-off constant B

Definition at line 26 of file DomainAdaptationSVM.cpp.

~CDomainAdaptationSVM

(

)

[virtual]

destructor

Definition at line 32 of file DomainAdaptationSVM.cpp.

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Member Function Documentation

CLabels * classify

(

CFeatures *

data

)

[virtual]

classify objects

Parameters:

data

(test)data to be classified

Returns:

classified labels

Reimplemented from CKernelMachine.

Definition at line 148 of file DomainAdaptationSVM.cpp.

float64_t get_B

(

)

[virtual]

getter for regularization parameter B

Returns:

regularization parameter B

Definition at line 130 of file DomainAdaptationSVM.cpp.

virtual EClassifierType get_classifier_type

(

)

[virtual]

get classifier type

Returns:

classifier type LIGHT

Reimplemented from CSVMLight.

Definition at line 64 of file DomainAdaptationSVM.h.

virtual const char* get_name

(

void

)

const [virtual]

Returns:

object name

Reimplemented from CSVMLight.

Definition at line 97 of file DomainAdaptationSVM.h.

CSVM * get_presvm

(

)

[virtual]

returns SVM that is used as prior information

Returns:

presvm

Definition at line 123 of file DomainAdaptationSVM.cpp.

float64_t get_train_factor

(

)

[virtual]

getter for train_factor

Returns:

train_factor

Definition at line 136 of file DomainAdaptationSVM.cpp.

void init	(	CSVM *	presvm,
		float64_t	B
	)

init SVM

Parameters:

	presvm	trained SVM to regularize against
	B	trade-off constant B

Definition at line 39 of file DomainAdaptationSVM.cpp.

bool is_presvm_sane

(

)

[protected, virtual]

check sanity of presvm

Returns:

true if sane, throws SG_ERROR otherwise

Definition at line 55 of file DomainAdaptationSVM.cpp.

void set_train_factor

(

float64_t

factor

)

[virtual]

setter for train_factor

Definition at line 142 of file DomainAdaptationSVM.cpp.

bool train

(

CFeatures *

data = NULL

)

[virtual]

train SVM classifier

Parameters:

data

training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data)

Returns:

whether training was successful

Reimplemented from CSVMLight.

Definition at line 81 of file DomainAdaptationSVM.cpp.

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Member Data Documentation

float64_t B [protected]

regularization parameter B

Definition at line 116 of file DomainAdaptationSVM.h.

CSVM* presvm [protected]

SVM to regularize against

Definition at line 113 of file DomainAdaptationSVM.h.

float64_t train_factor [protected]

flag to switch off regularization in training

Definition at line 119 of file DomainAdaptationSVM.h.

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

• DomainAdaptationSVM.h
• DomainAdaptationSVM.cpp