CPluginEstimate Class Reference

Inheritance diagram for CPluginEstimate:

[legend]

List of all members.

Public Member Functions
	CPluginEstimate (float64_t pos_pseudo=1e-10, float64_t neg_pseudo=1e-10)
virtual	~CPluginEstimate ()
bool	train ()
CLabels *	classify (CLabels *output=NULL)
	classify all test features
virtual void	set_features (CStringFeatures< uint16_t > *feat)
virtual CStringFeatures < uint16_t > *	get_features ()
float64_t	classify_example (int32_t vec_idx)
	classify the test feature vector indexed by vec_idx
float64_t	posterior_log_odds_obsolete (uint16_t *vector, int32_t len)
float64_t	get_parameterwise_log_odds (uint16_t obs, int32_t position)
float64_t	log_derivative_pos_obsolete (uint16_t obs, int32_t pos)
float64_t	log_derivative_neg_obsolete (uint16_t obs, int32_t pos)
bool	get_model_params (float64_t *&pos_params, float64_t *&neg_params, int32_t &seq_length, int32_t &num_symbols)
void	set_model_params (const float64_t *pos_params, const float64_t *neg_params, int32_t seq_length, int32_t num_symbols)
int32_t	get_num_params ()
bool	check_models ()
Protected Attributes
float64_t	m_pos_pseudo
float64_t	m_neg_pseudo
CLinearHMM *	pos_model
CLinearHMM *	neg_model
CStringFeatures< uint16_t > *	features

---

Detailed Description

class PluginEstimate

Definition at line 20 of file PluginEstimate.h.

---

Constructor & Destructor Documentation

CPluginEstimate::CPluginEstimate	(	float64_t	pos_pseudo = 1e-10,
		float64_t	neg_pseudo = 1e-10
	)

default constructor

Parameters:

	pos_pseudo	pseudo for positive model
	neg_pseudo	pseudo for negative model

Definition at line 19 of file PluginEstimate.cpp.

CPluginEstimate::~CPluginEstimate

(

)

[virtual]

Definition at line 25 of file PluginEstimate.cpp.

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Member Function Documentation

bool CPluginEstimate::check_models

(

)

check models

Returns:

if one of the two models is invalid

Definition at line 173 of file PluginEstimate.h.

CLabels * CPluginEstimate::classify

(

CLabels *

output = NULL

)

[virtual]

classify all test features

Reimplemented from CClassifier.

Definition at line 70 of file PluginEstimate.cpp.

float64_t CPluginEstimate::classify_example

(

int32_t

vec_idx

)

[virtual]

classify the test feature vector indexed by vec_idx

Reimplemented from CClassifier.

Definition at line 84 of file PluginEstimate.cpp.

virtual CStringFeatures<uint16_t>* CPluginEstimate::get_features

(

)

[virtual]

get features

Returns:

features

Definition at line 54 of file PluginEstimate.h.

bool CPluginEstimate::get_model_params	(	float64_t *&	pos_params,
		float64_t *&	neg_params,
		int32_t &	seq_length,
		int32_t &	num_symbols
	)

get model parameters

Parameters:

	pos_params	parameters of positive model
	neg_params	parameters of negative model
	seq_length	sequence length
	num_symbols	numbe of symbols

Returns:

if operation was successful

Definition at line 113 of file PluginEstimate.h.

int32_t CPluginEstimate::get_num_params

(

)

get number of parameters

Returns:

number of parameters

Definition at line 164 of file PluginEstimate.h.

float64_t CPluginEstimate::get_parameterwise_log_odds	(	uint16_t	obs,
		int32_t	position
	)

get log odds parameter-wise

Parameters:

	obs	observation
	position	position

Returns:

log odd at position

Definition at line 77 of file PluginEstimate.h.

float64_t CPluginEstimate::log_derivative_neg_obsolete	(	uint16_t	obs,
		int32_t	pos
	)

get obsolete negative log derivative

Parameters:

	obs	observation
	pos	position

Returns:

negative log derivative

Definition at line 100 of file PluginEstimate.h.

float64_t CPluginEstimate::log_derivative_pos_obsolete	(	uint16_t	obs,
		int32_t	pos
	)

get obsolete positive log derivative

Parameters:

	obs	observation
	pos	position

Returns:

positive log derivative

Definition at line 89 of file PluginEstimate.h.

float64_t CPluginEstimate::posterior_log_odds_obsolete	(	uint16_t *	vector,
		int32_t	len
	)

obsolete posterior log odds

Parameters:

	vector	vector
	len	len

Returns:

something floaty

Definition at line 65 of file PluginEstimate.h.

virtual void CPluginEstimate::set_features

(

CStringFeatures< uint16_t > *

feat

)

[virtual]

set features

Parameters:

feat

features to set

Definition at line 43 of file PluginEstimate.h.

void CPluginEstimate::set_model_params	(	const float64_t *	pos_params,
		const float64_t *	neg_params,
		int32_t	seq_length,
		int32_t	num_symbols
	)

set model parameters

Parameters:

	pos_params	parameters of positive model
	neg_params	parameters of negative model
	seq_length	sequence length
	num_symbols	numbe of symbols

Definition at line 141 of file PluginEstimate.h.

bool CPluginEstimate::train

(

)

[virtual]

train the estimate

Returns:

if training was successful

Reimplemented from CClassifier.

Definition at line 33 of file PluginEstimate.cpp.

---

Member Data Documentation

CStringFeatures<uint16_t>* CPluginEstimate::features [protected]

features

Definition at line 190 of file PluginEstimate.h.

float64_t CPluginEstimate::m_neg_pseudo [protected]

pseudo count for negative class

Definition at line 182 of file PluginEstimate.h.

float64_t CPluginEstimate::m_pos_pseudo [protected]

pseudo count for positive class

Definition at line 180 of file PluginEstimate.h.

CLinearHMM* CPluginEstimate::neg_model [protected]

negative model

Definition at line 187 of file PluginEstimate.h.

CLinearHMM* CPluginEstimate::pos_model [protected]

positive model

Definition at line 185 of file PluginEstimate.h.

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

• PluginEstimate.h
• PluginEstimate.cpp