CGHMM Class Reference

Detailed Description

class GHMM - this class is non-functional and was meant to implement a Generalize Hidden Markov Model (aka Semi Hidden Markov HMM).

Definition at line 22 of file GHMM.h.

Inheritance diagram for CGHMM:

Public Member Functions
	CGHMM ()
virtual	~CGHMM ()
virtual bool	train (CFeatures *data=NULL)
virtual int32_t	get_num_model_parameters ()
virtual float64_t	get_log_model_parameter (int32_t param_num)
virtual float64_t	get_log_derivative (int32_t param_num, int32_t num_example)
virtual float64_t	get_log_likelihood_example (int32_t num_example)
virtual const char *	get_name () const
Public Member Functions inherited from CDistribution
	CDistribution ()
virtual	~CDistribution ()
virtual int32_t	get_num_relevant_model_parameters ()
virtual float64_t	get_log_likelihood_sample ()
virtual SGVector< float64_t >	get_log_likelihood ()
virtual float64_t	get_model_parameter (int32_t num_param)
virtual float64_t	get_derivative (int32_t num_param, int32_t num_example)
virtual float64_t	get_likelihood_example (int32_t num_example)
virtual void	set_features (CFeatures *f)
virtual CFeatures *	get_features ()
virtual void	set_pseudo_count (float64_t pseudo)
virtual float64_t	get_pseudo_count ()
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)
Protected Attributes inherited from CDistribution
CFeatures *	features
float64_t	pseudo_count

Constructor & Destructor Documentation

CGHMM

(

)

default constructor

Definition at line 15 of file GHMM.cpp.

~CGHMM ( )

virtual

Definition at line 20 of file GHMM.cpp.

Member Function Documentation

float64_t get_log_derivative ( int32_t  param_num, int32_t  num_example  )

virtual

get logarithm of one example's derivative's likelihood

Parameters

param_num	which example's param
num_example	which example

Returns

logarithm of example's derivative's likelihood

Implements CDistribution.

Definition at line 39 of file GHMM.cpp.

float64_t get_log_likelihood_example ( int32_t  num_example )

virtual

get logarithm of one example's likelihood

Parameters

num_example

which example

Returns

logarithm of example's likelihood

Implements CDistribution.

Definition at line 44 of file GHMM.cpp.

float64_t get_log_model_parameter ( int32_t  param_num )

virtual

get logarithm of given model parameter

Parameters

param_num

which param

Returns

logarithm of given model parameter

Implements CDistribution.

Definition at line 34 of file GHMM.cpp.

virtual const char* get_name ( ) const

virtual

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

Returns

name of the SGSerializable

Implements CSGObject.

Definition at line 72 of file GHMM.h.

int32_t get_num_model_parameters ( )

virtual

get number of model parameters

Returns

number of model parameters

Implements CDistribution.

Definition at line 29 of file GHMM.cpp.

bool train ( CFeatures *  data = NULL )

virtual

learn distribution

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

Implements CDistribution.

Definition at line 24 of file GHMM.cpp.

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

• GHMM.h
• GHMM.cpp