CSparseLinearClassifier Class Reference

Inheritance diagram for CSparseLinearClassifier:

[legend]

List of all members.

Public Member Functions
	CSparseLinearClassifier ()
virtual	~CSparseLinearClassifier ()
virtual CLabels *	classify (CLabels *output=NULL)
virtual float64_t	classify_example (int32_t vec_idx)
	get output for example "vec_idx"
void	get_w (float64_t **dst_w, int32_t *dst_dims)
void	set_w (float64_t *src_w, int32_t src_w_dim)
void	set_bias (float64_t b)
float64_t	get_bias ()
void	set_features (CSparseFeatures< float64_t > *feat)
CSparseFeatures< float64_t > *	get_features ()
Protected Attributes
int32_t	w_dim
float64_t *	w
float64_t	bias
CSparseFeatures< float64_t > *	features

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Detailed Description

class SparseLinearClassifier

Definition at line 19 of file SparseLinearClassifier.h.

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Constructor & Destructor Documentation

CSparseLinearClassifier::CSparseLinearClassifier

(

)

default constructor

Definition at line 13 of file SparseLinearClassifier.cpp.

CSparseLinearClassifier::~CSparseLinearClassifier

(

)

[virtual]

Definition at line 18 of file SparseLinearClassifier.cpp.

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Member Function Documentation

CLabels * CSparseLinearClassifier::classify

(

CLabels *

output = NULL

)

[virtual]

classify all examples

Parameters:

output

resulting labels

Returns:

resulting labels

Reimplemented from CClassifier.

Definition at line 24 of file SparseLinearClassifier.cpp.

virtual float64_t CSparseLinearClassifier::classify_example

(

int32_t

vec_idx

)

[virtual]

get output for example "vec_idx"

Reimplemented from CClassifier.

Definition at line 34 of file SparseLinearClassifier.h.

float64_t CSparseLinearClassifier::get_bias

(

)

get bias

Returns:

bias

Definition at line 78 of file SparseLinearClassifier.h.

CSparseFeatures<float64_t>* CSparseLinearClassifier::get_features

(

)

get features

Returns:

features

Definition at line 98 of file SparseLinearClassifier.h.

void CSparseLinearClassifier::get_w	(	float64_t **	dst_w,
		int32_t *	dst_dims
	)

get w

Parameters:

	dst_w	store w in this argument
	dst_dims	dimension of w

Definition at line 44 of file SparseLinearClassifier.h.

void CSparseLinearClassifier::set_bias

(

float64_t

b

)

set bias

Parameters:

b

new bias

Definition at line 69 of file SparseLinearClassifier.h.

void CSparseLinearClassifier::set_features

(

CSparseFeatures< float64_t > *

feat

)

set features

Parameters:

feat

features to set

Definition at line 87 of file SparseLinearClassifier.h.

void CSparseLinearClassifier::set_w	(	float64_t *	src_w,
		int32_t	src_w_dim
	)

set w

Parameters:

	src_w	new w
	src_w_dim	dimension of new w

Definition at line 59 of file SparseLinearClassifier.h.

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Member Data Documentation

float64_t CSparseLinearClassifier::bias [protected]

bias

Definition at line 106 of file SparseLinearClassifier.h.

CSparseFeatures<float64_t>* CSparseLinearClassifier::features [protected]

features

Definition at line 108 of file SparseLinearClassifier.h.

float64_t* CSparseLinearClassifier::w [protected]

w

Definition at line 104 of file SparseLinearClassifier.h.

int32_t CSparseLinearClassifier::w_dim [protected]

dimension of w

Definition at line 102 of file SparseLinearClassifier.h.

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

• SparseLinearClassifier.h
• SparseLinearClassifier.cpp