CLogLoss Class Reference

Detailed Description

CLogLoss implements the logarithmic loss function.

Definition at line 21 of file LogLoss.h.

Inheritance diagram for CLogLoss:

Public Member Functions
	CLogLoss ()
	~CLogLoss ()
float64_t	loss (float64_t prediction, float64_t label)
virtual float64_t	first_derivative (float64_t prediction, float64_t label)
virtual float64_t	second_derivative (float64_t prediction, float64_t label)
virtual float64_t	get_update (float64_t prediction, float64_t label, float64_t eta_t, float64_t norm)
virtual float64_t	get_square_grad (float64_t prediction, float64_t label)
virtual ELossType	get_loss_type ()
virtual const char *	get_name () const
Public Member Functions inherited from CLossFunction
	CLossFunction ()
virtual	~CLossFunction ()
Public Member Functions inherited from CSGObject
	CSGObject ()
	CSGObject (const CSGObject &orig)
virtual	~CSGObject ()
virtual bool	is_generic (EPrimitiveType *generic) const
template<class T >
void	set_generic ()
void	unset_generic ()
virtual void	print_serializable (const char *prefix="")
virtual bool	save_serializable (CSerializableFile *file, const char *prefix="")
virtual bool	load_serializable (CSerializableFile *file, const char *prefix="")
void	set_global_io (SGIO *io)
SGIO *	get_global_io ()
void	set_global_parallel (Parallel *parallel)
Parallel *	get_global_parallel ()
void	set_global_version (Version *version)
Version *	get_global_version ()
SGVector< char * >	get_modelsel_names ()
char *	get_modsel_param_descr (const char *param_name)
index_t	get_modsel_param_index (const char *param_name)

Additional Inherited Members
Public Attributes inherited from CSGObject
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters
Protected Member Functions inherited from CSGObject
virtual void	load_serializable_pre () throw (ShogunException)
virtual void	load_serializable_post () throw (ShogunException)
virtual void	save_serializable_pre () throw (ShogunException)
virtual void	save_serializable_post () throw (ShogunException)

Constructor & Destructor Documentation

CLogLoss

(

)

Constructor

Definition at line 27 of file LogLoss.h.

~CLogLoss

(

)

Destructor

Definition at line 32 of file LogLoss.h.

Member Function Documentation

float64_t first_derivative ( float64_t  prediction, float64_t  label  )

virtual

Get first derivative of the loss function

Parameters

prediction	prediction
label	label

Returns

first derivative

Implements CLossFunction.

Definition at line 23 of file LogLoss.cpp.

virtual ELossType get_loss_type ( )

virtual

Return loss type

Returns

L_LOGLOSS

Implements CLossFunction.

Definition at line 91 of file LogLoss.h.

virtual const char* get_name ( ) const

virtual

Return the name of the object

Returns

LossFunction

Reimplemented from CLossFunction.

Definition at line 93 of file LogLoss.h.

float64_t get_square_grad ( float64_t  prediction, float64_t  label  )

virtual

Get square of gradient, used for adaptive learning

Parameters

prediction	prediction
label	label

Returns

square of gradient

Implements CLossFunction.

Definition at line 66 of file LogLoss.cpp.

float64_t get_update ( float64_t  prediction, float64_t  label, float64_t  eta_t, float64_t  norm  )

virtual

Get importance aware weight update for this loss function

Parameters

prediction	prediction
label	label
eta_t	learning rate at update number t
norm	scale value

Returns

update

Implements CLossFunction.

Definition at line 40 of file LogLoss.cpp.

float64_t loss ( float64_t  prediction, float64_t  label  )

virtual

Get loss for an example

Parameters

prediction	prediction
label	label

Returns

loss

Implements CLossFunction.

Definition at line 15 of file LogLoss.cpp.

float64_t second_derivative ( float64_t  prediction, float64_t  label  )

virtual

Get second derivative of the loss function

Parameters

prediction	prediction
label	label

Returns

second derivative

Implements CLossFunction.

Definition at line 32 of file LogLoss.cpp.

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

• LogLoss.h
• LogLoss.cpp