#include <smoothedNgramPredictor.h>

Inheritance diagram for SmoothedNgramPredictor:

Collaboration diagram for SmoothedNgramPredictor:

Public Member Functions
	SmoothedNgramPredictor (Configuration , ContextTracker , const char *)

	~SmoothedNgramPredictor ()

virtual Prediction	predict (const size_t size, const char **filter) const
	Generate prediction. More...

virtual void	learn (const std::vector< std::string > &change)

virtual void	update (const Observable *variable)

Public Member Functions inherited from Predictor
	Predictor (Configuration configuration, ContextTracker contextTracker, const char predictorName="Predictor", const char shortDescription="", const char *longDescription="")

virtual	~Predictor ()

const std::string	getName () const

const std::string	getShortDescription () const

const std::string	getLongDescription () const

Public Member Functions inherited from Observer
virtual	~Observer ()

Private Member Functions
unsigned int	count (const std::vector< std::string > &tokens, int offset, int ngram_size) const
	Builds the required n-gram and returns its count. More...

void	check_learn_consistency (const Ngram &name) const

void	set_dbfilename (const std::string &filename)

void	set_deltas (const std::string &deltas)

void	set_count_threshold (const std::string &value)

void	set_database_logger_level (const std::string &level)

void	set_learn (const std::string &learn_mode)

void	init_database_connector_if_ready ()

Private Attributes
std::string	LOGGER

std::string	DBFILENAME

std::string	DELTAS

std::string	COUNT_THRESHOLD

std::string	LEARN

std::string	DATABASE_LOGGER

DatabaseConnector *	db

std::string	dbfilename

std::string	dbloglevel

std::vector< double >	deltas

int	count_threshold

size_t	cardinality

bool	learn_mode

bool	learn_mode_set

Dispatcher< SmoothedNgramPredictor >	dispatcher

Additional Inherited Members
Protected Member Functions inherited from Predictor
virtual bool	token_satisfies_filter (const std::string &token, const std::string &prefix, const char **filter) const

virtual void	set_logger (const std::string &level)

Protected Member Functions inherited from Observer
	Observer ()

Protected Attributes inherited from Predictor
const std::string	name

const std::string	shortDescription

const std::string	longDescription

const std::string	PREDICTORS

ContextTracker *	contextTracker

Configuration *	configuration

Logger< char >	logger

Detailed Description

Smoothed n-gram statistical predictor.

Definition at line 47 of file smoothedNgramPredictor.h.

Constructor & Destructor Documentation

◆ SmoothedNgramPredictor()

SmoothedNgramPredictor::SmoothedNgramPredictor	(	Configuration *	config,
		ContextTracker *	ct,
		const char *	name
	)

Definition at line 31 of file smoothedNgramPredictor.cpp.

References config, COUNT_THRESHOLD, DATABASE_LOGGER, DBFILENAME, DELTAS, dispatcher, LEARN, LOGGER, Dispatcher< class_t >::map(), Predictor::name, Predictor::PREDICTORS, set_count_threshold(), set_database_logger_level(), set_dbfilename(), set_deltas(), set_learn(), and Predictor::set_logger().

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◆ ~SmoothedNgramPredictor()

SmoothedNgramPredictor::~SmoothedNgramPredictor ( )

Definition at line 61 of file smoothedNgramPredictor.cpp.

References db.

Member Function Documentation

◆ check_learn_consistency()

void SmoothedNgramPredictor::check_learn_consistency ( const Ngram & name ) const

private

Definition at line 473 of file smoothedNgramPredictor.cpp.

References count(), db, endl(), DatabaseConnector::incrementNgramCount(), Predictor::logger, and Logger< _charT, _Traits >::shouldLog().

Referenced by learn().

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◆ count()

unsigned int SmoothedNgramPredictor::count	(	const std::vector< std::string > &	tokens,
		int	offset,
		int	ngram_size
	)		const

private

Builds the required n-gram and returns its count.

Parameters

tokens	tokens[i] contains ContextTracker::getToken(i)
offset	entry point into tokens, must be a non-positive number
ngram_size	size of the ngram whose count is returned, must not be greater than tokens size

Returns: count of the ngram built based on tokens, offset and ngram_size

Let tokens = [ "how", "are", "you", "today" ];

count(tokens,  0, 3) returns the count associated with 3-gram [ "are", "you", "today" ].
count(tokens, -1, 2) returns the count associated with 2-gram [ "are", "you" ];
*

Definition at line 181 of file smoothedNgramPredictor.cpp.

References db, endl(), DatabaseConnector::getNgramCount(), DatabaseConnector::getUnigramCountsSum(), Predictor::logger, and ngram_to_string().

Referenced by check_learn_consistency(), learn(), and predict().

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◆ init_database_connector_if_ready()

void SmoothedNgramPredictor::init_database_connector_if_ready ( )

private

Definition at line 117 of file smoothedNgramPredictor.cpp.

References cardinality, db, dbfilename, dbloglevel, learn_mode, and learn_mode_set.

Referenced by set_dbfilename(), set_deltas(), and set_learn().

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◆ learn()

void SmoothedNgramPredictor::learn ( const std::vector< std::string > & change )

virtual

Implements Predictor.

Definition at line 344 of file smoothedNgramPredictor.cpp.

References DatabaseConnector::beginTransaction(), cardinality, check_learn_consistency(), Predictor::contextTracker, count(), db, endl(), DatabaseConnector::endTransaction(), ContextTracker::getExtraTokenToLearn(), DatabaseConnector::getNgramCount(), ContextTracker::getToken(), DatabaseConnector::insertNgram(), learn_mode, Predictor::logger, ngram_to_string(), DatabaseConnector::rollbackTransaction(), DatabaseConnector::updateNgram(), and PresageException::what().

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◆ predict()

Prediction SmoothedNgramPredictor::predict	(	const size_t	size,
		const char **	filter
	)		const

virtual

Generate prediction.

Parameters

size	desired prediction size
filter	filter

Implements Predictor.

Definition at line 201 of file smoothedNgramPredictor.cpp.

References Prediction::addSuggestion(), DatabaseConnector::beginTransaction(), cardinality, Predictor::contextTracker, count(), count_threshold, db, deltas, endl(), DatabaseConnector::endTransaction(), DatabaseConnector::getNgramLikeTable(), ContextTracker::getToken(), DatabaseConnector::getUnigramCountsSum(), Predictor::logger, and Logger< _charT, _Traits >::shouldLog().

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◆ set_count_threshold()

void SmoothedNgramPredictor::set_count_threshold ( const std::string & value )

private

Definition at line 99 of file smoothedNgramPredictor.cpp.

References count_threshold, endl(), Predictor::logger, and Utility::toInt().

Referenced by SmoothedNgramPredictor().

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◆ set_database_logger_level()

void SmoothedNgramPredictor::set_database_logger_level ( const std::string & level )

private

Definition at line 76 of file smoothedNgramPredictor.cpp.

References dbloglevel.

Referenced by SmoothedNgramPredictor().

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◆ set_dbfilename()

void SmoothedNgramPredictor::set_dbfilename ( const std::string & filename )

private

Definition at line 67 of file smoothedNgramPredictor.cpp.

References dbfilename, endl(), init_database_connector_if_ready(), and Predictor::logger.

Referenced by SmoothedNgramPredictor().

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◆ set_deltas()

void SmoothedNgramPredictor::set_deltas ( const std::string & deltas )

private

Definition at line 82 of file smoothedNgramPredictor.cpp.

References cardinality, deltas, endl(), init_database_connector_if_ready(), Predictor::logger, and Utility::toDouble().

Referenced by SmoothedNgramPredictor().

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◆ set_learn()

void SmoothedNgramPredictor::set_learn ( const std::string & learn_mode )

private

Definition at line 106 of file smoothedNgramPredictor.cpp.

References endl(), init_database_connector_if_ready(), Utility::isYes(), learn_mode, learn_mode_set, and Predictor::logger.

Referenced by SmoothedNgramPredictor().

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◆ update()

void SmoothedNgramPredictor::update ( const Observable * variable )

virtual

Implements Observer.

Definition at line 508 of file smoothedNgramPredictor.cpp.

References Dispatcher< class_t >::dispatch(), dispatcher, endl(), Observable::get_name(), Observable::get_value(), and Predictor::logger.

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Member Data Documentation

◆ cardinality

size_t SmoothedNgramPredictor::cardinality

private

Definition at line 82 of file smoothedNgramPredictor.h.

Referenced by init_database_connector_if_ready(), learn(), predict(), and set_deltas().

◆ COUNT_THRESHOLD

std::string SmoothedNgramPredictor::COUNT_THRESHOLD

private

Definition at line 62 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

◆ count_threshold

int SmoothedNgramPredictor::count_threshold

private

Definition at line 81 of file smoothedNgramPredictor.h.

Referenced by predict(), and set_count_threshold().

◆ DATABASE_LOGGER

std::string SmoothedNgramPredictor::DATABASE_LOGGER

private

Definition at line 64 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

◆ db

DatabaseConnector* SmoothedNgramPredictor::db

private

Definition at line 77 of file smoothedNgramPredictor.h.

Referenced by check_learn_consistency(), count(), init_database_connector_if_ready(), learn(), predict(), and ~SmoothedNgramPredictor().

◆ DBFILENAME

std::string SmoothedNgramPredictor::DBFILENAME

private

Definition at line 60 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

◆ dbfilename

std::string SmoothedNgramPredictor::dbfilename

private

Definition at line 78 of file smoothedNgramPredictor.h.

Referenced by init_database_connector_if_ready(), and set_dbfilename().

◆ dbloglevel

std::string SmoothedNgramPredictor::dbloglevel

private

Definition at line 79 of file smoothedNgramPredictor.h.

Referenced by init_database_connector_if_ready(), and set_database_logger_level().

◆ DELTAS

std::string SmoothedNgramPredictor::DELTAS

private

Definition at line 61 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

◆ deltas

std::vector<double> SmoothedNgramPredictor::deltas

private

Definition at line 80 of file smoothedNgramPredictor.h.

Referenced by predict(), and set_deltas().

◆ dispatcher

Dispatcher<SmoothedNgramPredictor> SmoothedNgramPredictor::dispatcher

private

Definition at line 86 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor(), and update().

◆ LEARN

std::string SmoothedNgramPredictor::LEARN

private

Definition at line 63 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

◆ learn_mode

bool SmoothedNgramPredictor::learn_mode

private

Definition at line 83 of file smoothedNgramPredictor.h.

Referenced by init_database_connector_if_ready(), learn(), and set_learn().

◆ learn_mode_set

bool SmoothedNgramPredictor::learn_mode_set

private

Definition at line 84 of file smoothedNgramPredictor.h.

Referenced by init_database_connector_if_ready(), and set_learn().

◆ LOGGER

std::string SmoothedNgramPredictor::LOGGER

private

Definition at line 59 of file smoothedNgramPredictor.h.

Referenced by SmoothedNgramPredictor().

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

F:/msys64/home/MatteoV/git/presage/src/lib/predictors/smoothedNgramPredictor.h
F:/msys64/home/MatteoV/git/presage/src/lib/predictors/smoothedNgramPredictor.cpp

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SmoothedNgramPredictor()

◆ ~SmoothedNgramPredictor()

Member Function Documentation

◆ check_learn_consistency()

◆ count()

◆ init_database_connector_if_ready()

◆ learn()

◆ predict()

◆ set_count_threshold()

◆ set_database_logger_level()

◆ set_dbfilename()

◆ set_deltas()

◆ set_learn()

◆ update()

Member Data Documentation

◆ cardinality

◆ COUNT_THRESHOLD

◆ count_threshold

◆ DATABASE_LOGGER

◆ db

◆ DBFILENAME

◆ dbfilename

◆ dbloglevel

◆ DELTAS

◆ deltas

◆ dispatcher

◆ LEARN

◆ learn_mode

◆ learn_mode_set

◆ LOGGER