CLPBoost Class Reference

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Detailed Description

Class LPBoost trains a linear classifier called Linear Programming Machine, i.e. a SVM using a norm regularizer.

It solves the following optimization problem using Boosting on the input features:

Note that currently CPLEX is required to solve this problem. This implementation is faster than solving the linear program directly in CPLEX (as was done in CLPM).

See also:

CLPM

Definition at line 48 of file LPBoost.h.

List of all members.

Public Member Functions
	CLPBoost ()
virtual	~CLPBoost ()
virtual EClassifierType	get_classifier_type ()
bool	init (int32_t num_vec)
void	cleanup ()
virtual void	set_features (CDotFeatures *feat)
void	set_C (float64_t c_neg, float64_t c_pos)
float64_t	get_C1 ()
float64_t	get_C2 ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
void	set_epsilon (float64_t eps)
float64_t	get_epsilon ()
float64_t	find_max_violator (int32_t &max_dim)
virtual const char *	get_name () const
Protected Member Functions
virtual bool	train_machine (CFeatures *data=NULL)
Protected Attributes
float64_t	C1
float64_t	C2
bool	use_bias
float64_t	epsilon
float64_t *	u
CDynamicArray< int32_t > *	dim
int32_t	num_sfeat
int32_t	num_svec
SGSparseVector< float64_t > *	sfeat

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Constructor & Destructor Documentation

CLPBoost

(

)

Definition at line 25 of file LPBoost.cpp.

~CLPBoost

(

)

[virtual]

Definition at line 36 of file LPBoost.cpp.

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Member Function Documentation

void cleanup

(

)

Definition at line 57 of file LPBoost.cpp.

float64_t find_max_violator

(

int32_t &

max_dim

)

Definition at line 69 of file LPBoost.cpp.

bool get_bias_enabled

(

)

Definition at line 87 of file LPBoost.h.

float64_t get_C1

(

)

Definition at line 83 of file LPBoost.h.

float64_t get_C2

(

)

Definition at line 84 of file LPBoost.h.

virtual EClassifierType get_classifier_type

(

)

[virtual]

Definition at line 54 of file LPBoost.h.

float64_t get_epsilon

(

)

Definition at line 90 of file LPBoost.h.

virtual const char* get_name

(

void

)

const [virtual]

Returns:

object name

Definition at line 95 of file LPBoost.h.

bool init

(

int32_t

num_vec

)

Definition at line 41 of file LPBoost.cpp.

void set_bias_enabled

(

bool

enable_bias

)

Definition at line 86 of file LPBoost.h.

void set_C	(	float64_t	c_neg,
		float64_t	c_pos
	)

set C

Parameters:

	c_neg	new C constant for negatively labeled examples
	c_pos	new C constant for positively labeled examples

Definition at line 81 of file LPBoost.h.

void set_epsilon

(

float64_t

eps

)

Definition at line 89 of file LPBoost.h.

virtual void set_features

(

CDotFeatures *

feat

)

[virtual]

set features

Parameters:

feat

features to set

Definition at line 66 of file LPBoost.h.

bool train_machine

(

CFeatures *

data = NULL

)

[protected, virtual]

train 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

Definition at line 104 of file LPBoost.cpp.

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Member Data Documentation

float64_t C1 [protected]

Definition at line 109 of file LPBoost.h.

float64_t C2 [protected]

Definition at line 110 of file LPBoost.h.

CDynamicArray<int32_t>* dim [protected]

Definition at line 115 of file LPBoost.h.

float64_t epsilon [protected]

Definition at line 112 of file LPBoost.h.

int32_t num_sfeat [protected]

Definition at line 117 of file LPBoost.h.

int32_t num_svec [protected]

Definition at line 118 of file LPBoost.h.

SGSparseVector<float64_t>* sfeat [protected]

Definition at line 119 of file LPBoost.h.

float64_t* u [protected]

Definition at line 114 of file LPBoost.h.

bool use_bias [protected]

Definition at line 111 of file LPBoost.h.

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

• LPBoost.h
• LPBoost.cpp