shogun::CMulticlassLogisticRegression Class Reference

multiclass logistic regression More...

#include <MulticlassLogisticRegression.h>

Inheritance diagram for shogun::CMulticlassLogisticRegression:

Collaboration diagram for shogun::CMulticlassLogisticRegression:

Public Member Functions
	CMulticlassLogisticRegression ()
	CMulticlassLogisticRegression (float64_t z, CDotFeatures *feats, CLabels *labs)
	~CMulticlassLogisticRegression ()
virtual const char *	get_name () const
void	set_z (float64_t z)
float64_t	get_z () const
void	set_epsilon (float64_t epsilon)
float64_t	get_epsilon () const
void	set_max_iter (int32_t max_iter)
int32_t	get_max_iter () const
vector< SGVector< float64_t > >	get_w ()
void	set_w (vector< Eigen::VectorXd > &wnew)
vector< float64_t >	get_bias ()

Protected Member Functions
virtual bool	train_machine (CFeatures *data=NULL)

Protected Attributes
float64_t	m_z
float64_t	m_epsilon
int32_t	m_max_iter

Private Member Functions
void	init_defaults ()
void	register_parameters ()

Detailed Description

multiclass logistic regression

Definition at line 35 of file MulticlassLogisticRegression.h.

Constructor & Destructor Documentation

CMulticlassLogisticRegression() [1/2]

shogun::CMulticlassLogisticRegression::CMulticlassLogisticRegression

(

)

default constructor

Definition at line 48 of file MulticlassLogisticRegression.cc.

CMulticlassLogisticRegression() [2/2]

shogun::CMulticlassLogisticRegression::CMulticlassLogisticRegression	(	float64_t	z,
		CDotFeatures *	feats,
		CLabels *	labs
	)

standard constructor

Parameters

z	z regularization constant value
feats	features
labs	labels

Definition at line 54 of file MulticlassLogisticRegression.cc.

~CMulticlassLogisticRegression()

shogun::CMulticlassLogisticRegression::~CMulticlassLogisticRegression

(

)

destructor

machine

Definition at line 75 of file MulticlassLogisticRegression.cc.

Member Function Documentation

get_bias()

vector< float64_t > shogun::CMulticlassLogisticRegression::get_bias

(

)

get biases

Definition at line 129 of file MulticlassLogisticRegression.cc.

get_epsilon()

float64_t shogun::CMulticlassLogisticRegression::get_epsilon ( ) const

inline

get epsilon

Returns

epsilon value

Definition at line 36 of file MulticlassLogisticRegression.cc.

get_max_iter()

int32_t shogun::CMulticlassLogisticRegression::get_max_iter ( ) const

inline

get max iter

Returns

max iter value

Definition at line 44 of file MulticlassLogisticRegression.cc.

get_name()

const char * shogun::CMulticlassLogisticRegression::get_name ( ) const

virtual

get name

Definition at line 17 of file MulticlassLogisticRegression.cc.

get_w()

vector< SGVector< float64_t > > shogun::CMulticlassLogisticRegression::get_w

(

)

get weights

Definition at line 113 of file MulticlassLogisticRegression.cc.

get_z()

float64_t shogun::CMulticlassLogisticRegression::get_z ( ) const

inline

get C

Returns

C value

Definition at line 28 of file MulticlassLogisticRegression.cc.

init_defaults()

void shogun::CMulticlassLogisticRegression::init_defaults ( )

private

init defaults

Definition at line 61 of file MulticlassLogisticRegression.cc.

register_parameters()

void shogun::CMulticlassLogisticRegression::register_parameters ( )

private

register parameters

Definition at line 68 of file MulticlassLogisticRegression.cc.

set_epsilon()

void shogun::CMulticlassLogisticRegression::set_epsilon

(

float64_t

epsilon

)

set epsilon

Parameters

epsilon

epsilon value

Definition at line 30 of file MulticlassLogisticRegression.cc.

set_max_iter()

void shogun::CMulticlassLogisticRegression::set_max_iter

(

int32_t

max_iter

)

set max iter

Parameters

max_iter

max iter value

Definition at line 38 of file MulticlassLogisticRegression.cc.

set_w()

void shogun::CMulticlassLogisticRegression::set_w

(

vector< Eigen::VectorXd > &

wnew

)

Definition at line 145 of file MulticlassLogisticRegression.cc.

set_z()

void shogun::CMulticlassLogisticRegression::set_z

(

float64_t

z

)

set z

Parameters

z

z value

Definition at line 22 of file MulticlassLogisticRegression.cc.

train_machine()

bool shogun::CMulticlassLogisticRegression::train_machine ( CFeatures *  data = NULL )

protectedvirtual

train machine

Definition at line 159 of file MulticlassLogisticRegression.cc.

Member Data Documentation

m_epsilon

float64_t shogun::CMulticlassLogisticRegression::m_epsilon

protected

tolerance

Definition at line 113 of file MulticlassLogisticRegression.h.

m_max_iter

int32_t shogun::CMulticlassLogisticRegression::m_max_iter

protected

max number of iterations

Definition at line 116 of file MulticlassLogisticRegression.h.

m_z

float64_t shogun::CMulticlassLogisticRegression::m_z

protected

regularization constant for each machine

Definition at line 110 of file MulticlassLogisticRegression.h.

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

• MulticlassLogisticRegression.h
• MulticlassLogisticRegression.cc