This implements random pruning strategy for pruning ensembles. More...

#include <skip_pruning.h>

Inheritance diagram for quickrank::optimization::post_learning::pruning::SkipPruning:

Public Member Functions
	SkipPruning (double pruning_rate)

	SkipPruning (double pruning_rate, std::shared_ptr< learning::linear::LineSearch > lineSearch)

	SkipPruning (const pugi::xml_document &model)

Cleaver::PruningMethod	pruning_method () const
	Returns the pruning method of the algorithm. More...

bool	line_search_pre_pruning () const

void	pruning (std::set< unsigned int > &pruned_estimators, std::shared_ptr< data::Dataset > dataset, std::shared_ptr< metric::ir::Metric > scorer)

Public Member Functions inherited from quickrank::optimization::post_learning::pruning::Cleaver
	Cleaver (double pruning_rate)

	Cleaver (double pruning_rate, std::shared_ptr< learning::linear::LineSearch > lineSearch)

	Cleaver (const pugi::xml_document &model)

std::string	name () const
	Returns the name of the optimizer. More...

virtual bool	need_partial_score_dataset () const

void	optimize (std::shared_ptr< quickrank::learning::LTR_Algorithm > algo, std::shared_ptr< quickrank::data::Dataset > training_dataset, std::shared_ptr< quickrank::data::Dataset > validation_dataset, std::shared_ptr< quickrank::metric::ir::Metric > metric, size_t partial_save, const std::string model_filename)

virtual std::shared_ptr< data::Dataset >	filter_dataset (std::shared_ptr< data::Dataset > dataset, std::set< unsigned int > &pruned_estimators) const
	Process the dataset filtering out features with 0-weight. More...

virtual pugi::xml_document *	get_xml_model () const
	Return the xml model representing the current object. More...

virtual std::vector< float > &	get_weigths ()
	Returns the learned weights. More...

Public Member Functions inherited from quickrank::optimization::post_learning::PostLearningOptimization
bool	is_pre_learning () const

Public Member Functions inherited from quickrank::optimization::Optimization
	Optimization ()

	Optimization (const pugi::xml_document &model)
	Generates a LTR_Algorithm instance from a previously saved XML model. More...

virtual	~Optimization ()=default

	Optimization (const Optimization &other)=delete
	Avoid inefficient copy constructor. More...

Optimization &	operator= (const Optimization &)=delete
	Avoid inefficient copy assignment. More...

virtual void	optimize (std::shared_ptr< learning::LTR_Algorithm > algo, std::shared_ptr< data::Dataset > training_dataset, std::shared_ptr< data::Dataset > validation_dataset, std::shared_ptr< metric::ir::Metric > metric, size_t partial_save, const std::string model_filename)=0
	Executes the optimization process. More...

virtual void	save (std::string model_filename, int suffix=-1) const
	Save the current model to the output_file. More...

Additional Inherited Members
Public Types inherited from quickrank::optimization::post_learning::pruning::Cleaver
enum	PruningMethod { PruningMethod::RANDOM, PruningMethod::LOW_WEIGHTS, PruningMethod::SKIP, PruningMethod::LAST, PruningMethod::QUALITY_LOSS, PruningMethod::SCORE_LOSS }

Public Types inherited from quickrank::optimization::Optimization
enum	OptimizationAlgorithm { OptimizationAlgorithm::EPRUNING }

Static Public Member Functions inherited from quickrank::optimization::post_learning::pruning::Cleaver
static PruningMethod	getPruningMethod (std::string name)

static std::string	getPruningMethod (PruningMethod pruningMethod)

Static Public Member Functions inherited from quickrank::optimization::Optimization
static std::shared_ptr< Optimization >	load_model_from_file (std::string model_filename)
	Load a model from a given XML file. More...

static OptimizationAlgorithm	getOptimizationAlgorithm (std::string name)

static std::string	getPruningMethod (OptimizationAlgorithm optAlgo)

Static Public Attributes inherited from quickrank::optimization::post_learning::pruning::Cleaver
static const std::vector< std::string >	pruningMethodNames

static const std::string	NAME_ = "CLEAVER"

Static Public Attributes inherited from quickrank::optimization::Optimization
static const std::vector< std::string >	optimizationAlgorithmNames

Protected Member Functions inherited from quickrank::optimization::post_learning::pruning::Cleaver
std::ostream &	put (std::ostream &os) const
	Prints the description of Algorithm, including its parameters. More...

virtual void	score (data::Dataset dataset, Score scores) const

virtual void	import_weights_from_line_search (std::set< unsigned int > &pruned_estimators)

Protected Attributes inherited from quickrank::optimization::post_learning::pruning::Cleaver
double	pruning_rate_

unsigned int	estimators_to_prune_

unsigned int	estimators_to_select_

std::shared_ptr< learning::linear::LineSearch >	lineSearch_

std::vector< float >	weights_

Detailed Description

This implements random pruning strategy for pruning ensembles.

Constructor & Destructor Documentation

quickrank::optimization::post_learning::pruning::SkipPruning::SkipPruning ( double pruning_rate )

inline

quickrank::optimization::post_learning::pruning::SkipPruning::SkipPruning	(	double	pruning_rate,
		std::shared_ptr< learning::linear::LineSearch >	lineSearch
	)

inline

quickrank::optimization::post_learning::pruning::SkipPruning::SkipPruning ( const pugi::xml_document & model )

inline

Member Function Documentation

bool quickrank::optimization::post_learning::pruning::SkipPruning::line_search_pre_pruning ( ) const

virtual

Implements quickrank::optimization::post_learning::pruning::Cleaver.

void quickrank::optimization::post_learning::pruning::SkipPruning::pruning	(	std::set< unsigned int > &	pruned_estimators,
		std::shared_ptr< data::Dataset >	dataset,
		std::shared_ptr< metric::ir::Metric >	scorer
	)

virtual

Implements quickrank::optimization::post_learning::pruning::Cleaver.

Cleaver::PruningMethod quickrank::optimization::post_learning::pruning::SkipPruning::pruning_method ( ) const

virtual

Returns the pruning method of the algorithm.

Implements quickrank::optimization::post_learning::pruning::Cleaver.

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

include/optimization/post_learning/pruning/skip_pruning.h
src/optimization/post_learning/pruning/skip_pruning.cc

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation