CKRR Class Reference

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Detailed Description

Definition at line 55 of file KRR.h.

Inheritance diagram for CKRR:

List of all members.

Public Member Functions
	CKRR ()
	CKRR (float64_t tau, CKernel *k, CLabels *lab)
virtual	~CKRR ()
void	set_tau (float64_t t)
virtual bool	train (CFeatures *data=NULL)
virtual CLabels *	classify ()
virtual float64_t	classify_example (int32_t num)
virtual CLabels *	classify (CFeatures *data)
virtual bool	load (FILE *srcfile)
virtual bool	save (FILE *dstfile)
virtual EClassifierType	get_classifier_type ()
virtual const char *	get_name () const

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Constructor & Destructor Documentation

CKRR

(

)

default constructor

Definition at line 21 of file KRR.cpp.

CKRR	(	float64_t	tau,
		CKernel *	k,
		CLabels *	lab
	)

constructor

Parameters:

tau	regularization constant tau
k	kernel
lab	labels

Definition at line 28 of file KRR.cpp.

~CKRR

(

)

[virtual]

Definition at line 38 of file KRR.cpp.

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Member Function Documentation

CLabels * classify

(

)

[virtual]

classify regression

Returns:

resulting labels

Reimplemented from CKernelMachine.

Definition at line 97 of file KRR.cpp.

virtual CLabels* classify

(

CFeatures *

data

)

[virtual]

classify objects

Parameters:

data	(test)data to be classified

Returns:

classified labels

Reimplemented from CKernelMachine.

Definition at line 104 of file KRR.h.

float64_t classify_example

(

int32_t

num

)

[virtual]

classify one example

Parameters:

num	which example to classify

Returns:

result

Reimplemented from CKernelMachine.

Definition at line 127 of file KRR.cpp.

virtual EClassifierType get_classifier_type

(

)

[virtual]

get classifier type

Returns:

classifier type KRR

Reimplemented from CClassifier.

Definition at line 127 of file KRR.h.

virtual const char* get_name

(

void

)

const [virtual]

Returns:

object name

Reimplemented from CKernelMachine.

Definition at line 133 of file KRR.h.

bool load

(

FILE *

srcfile

)

[virtual]

load regression from file

Parameters:

srcfile

file to load from

Returns:

if loading was successful

Reimplemented from CClassifier.

Definition at line 83 of file KRR.cpp.

bool save

(

FILE *

dstfile

)

[virtual]

save regression to file

Parameters:

dstfile

file to save to

Returns:

if saving was successful

Reimplemented from CClassifier.

Definition at line 90 of file KRR.cpp.

void set_tau

(

float64_t

t

)

set regularization constant

Parameters:

t

new tau

Definition at line 74 of file KRR.h.

bool train

(

CFeatures *

data = NULL

)

[virtual]

train regression

Parameters:

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

Returns:

whether training was successful

Reimplemented from CClassifier.

Definition at line 43 of file KRR.cpp.

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

• KRR.h
• KRR.cpp