quickrank::learning::linear::CoordinateAscent Member List

This is the complete list of members for quickrank::learning::linear::CoordinateAscent, including all inherited members.

best_weights_	quickrank::learning::linear::CoordinateAscent	private
CoordinateAscent(unsigned int num_points, double window_size, double reduction_factor, unsigned int max_iterations, unsigned int max_failed_vali)	quickrank::learning::linear::CoordinateAscent
CoordinateAscent(const pugi::xml_document &model)	quickrank::learning::linear::CoordinateAscent
get_weights() const	quickrank::learning::linear::CoordinateAscent	inlinevirtual
get_xml_model() const	quickrank::learning::linear::CoordinateAscent	virtual
learn(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)	quickrank::learning::linear::CoordinateAscent	virtual
load_model_from_file(std::string model_filename)	quickrank::learning::LTR_Algorithm	static
LTR_Algorithm()	quickrank::learning::LTR_Algorithm	inline
LTR_Algorithm(const pugi::xml_document &model)	quickrank::learning::LTR_Algorithm
LTR_Algorithm(const LTR_Algorithm &other)=delete	quickrank::learning::LTR_Algorithm
max_failed_vali_	quickrank::learning::linear::CoordinateAscent	private
max_iterations_	quickrank::learning::linear::CoordinateAscent	private
name() const	quickrank::learning::linear::CoordinateAscent	inlinevirtual
NAME_	quickrank::learning::linear::CoordinateAscent	static
num_samples_	quickrank::learning::linear::CoordinateAscent	private
operator<<(std::ostream &os, const CoordinateAscent &a)	quickrank::learning::linear::CoordinateAscent	friend
operator=(const LTR_Algorithm &)=delete	quickrank::learning::LTR_Algorithm
partial_scores_document(const Feature *d) const	quickrank::learning::LTR_Algorithm	inlinevirtual
print_additional_stats(void) const	quickrank::learning::LTR_Algorithm	inlinevirtual
put(std::ostream &os) const	quickrank::learning::linear::CoordinateAscent	privatevirtual
reduction_factor_	quickrank::learning::linear::CoordinateAscent	private
save(std::string model_filename, int suffix=-1) const	quickrank::learning::LTR_Algorithm	virtual
score_dataset(std::shared_ptr< data::Dataset > dataset, Score *scores) const	quickrank::learning::LTR_Algorithm	virtual
score_document(const Feature *d) const	quickrank::learning::linear::CoordinateAscent	virtual
update_weights(std::shared_ptr< std::vector< double >> weights)	quickrank::learning::linear::CoordinateAscent	virtual
window_size_	quickrank::learning::linear::CoordinateAscent	private
~CoordinateAscent()	quickrank::learning::linear::CoordinateAscent	virtual
~LTR_Algorithm()	quickrank::learning::LTR_Algorithm	inlinevirtual