GD Namespace Reference

Classes
struct	multipredict_info

Functions
VW::LEARNER::base_learner *	setup (VW::config::options_i &options, vw &all)
float	finalize_prediction (shared_data *sd, vw_logger &logger, float ret)
void	print_audit_features (vw &, example &ec)
void	save_load_regressor (vw &all, io_buf &model_file, bool read, bool text)
void	save_load_online_state (vw &all, io_buf &model_file, bool read, bool text, double &total_weight, GD::gd *g=nullptr, uint32_t ftrl_size=0)
template<class T >
void	vec_add_multipredict (multipredict_info< T > &mp, const float fx, uint64_t fi)
template<class R , typename T >
void	foreach_feature (vw &all, features &fs, R &dat, uint64_t offset=0, float mult=1.)
template<class R , class S , void(*)(R &, float, S) T>
void	foreach_feature (vw &all, example &ec, R &dat)
template<class R , void(*)(R &, float, float &) T>
void	foreach_feature (vw &all, example &ec, R &dat)
float	inline_predict (vw &all, example &ec)
float	sign (float w)
float	trunc_weight (const float w, const float gravity)
template<class R , void(*)(R &, float, uint64_t) T, class W >
void	foreach_feature (W &, features &fs, R &dat, uint64_t offset=0, float mult=1.)
template<class R , void(*)(R &, const float, const float &) T, class W >
void	foreach_feature (const W &weights, features &fs, R &dat, uint64_t offset=0, float mult=1.)
template<class R >
void	dummy_func (R &, const audit_strings *)
template<class R , class S , void(*)(R &, float, S) T, class W >
void	generate_interactions (std::vector< std::vector< namespace_index >> &interactions, bool permutations, example_predict &ec, R &dat, W &weights)
template<class R , class S , void(*)(R &, float, S) T, class W >
void	foreach_feature (W &weights, bool ignore_some_linear, std::array< bool, NUM_NAMESPACES > &ignore_linear, std::vector< std::vector< namespace_index >> &interactions, bool permutations, example_predict &ec, R &dat)
void	vec_add (float &p, const float fx, const float &fw)
template<class W >
float	inline_predict (W &weights, bool ignore_some_linear, std::array< bool, NUM_NAMESPACES > &ignore_linear, std::vector< std::vector< namespace_index >> &interactions, bool permutations, example_predict &ec, float initial=0.f)

Function Documentation

template<class R >

void GD::dummy_func ( R &  , const audit_strings *    )

inline

float GD::finalize_prediction	(	shared_data *	sd,
		vw_logger &	logger,
		float	ret
	)

template<class R , void(*)(R &, float, uint64_t) T, class W >

void GD::foreach_feature ( W &  weights, features &  fs, R &  dat, uint64_t  offset = 0, float  mult = 1.  )

inline

template<class R , void(*)(R &, const float, const float &) T, class W >

void GD::foreach_feature ( const W &  weights, features &  fs, R &  dat, uint64_t  offset = 0, float  mult = 1.  )

inline

template<class R , class S , void(*)(R &, float, S) T, class W >

void GD::foreach_feature ( W &  weights, bool  ignore_some_linear, std::array< bool, NUM_NAMESPACES > &  ignore_linear, std::vector< std::vector< namespace_index >> &  interactions, bool  permutations, example_predict &  ec, R &  dat  )

inline

template<class R , typename T >

void GD::foreach_feature ( vw &  all, features &  fs, R &  dat, uint64_t  offset = 0, float  mult = 1.  )

inline

template<class R , class S , void(*)(R &, float, S) T>

void GD::foreach_feature ( vw &  all, example &  ec, R &  dat  )

inline

template<class R , void(*)(R &, float, float &) T>

void GD::foreach_feature ( vw &  all, example &  ec, R &  dat  )

inline

template<class R , class S , void(*)(R &, float, S) T, class W >

void GD::generate_interactions ( std::vector< std::vector< namespace_index >> &  interactions, bool  permutations, example_predict &  ec, R &  dat, W &  weights  )

inline

template<class W >

float GD::inline_predict ( W &  weights, bool  ignore_some_linear, std::array< bool, NUM_NAMESPACES > &  ignore_linear, std::vector< std::vector< namespace_index >> &  interactions, bool  permutations, example_predict &  ec, float  initial = 0.f  )

inline

float GD::inline_predict ( vw &  all, example &  ec  )

inline

void GD::print_audit_features	(	vw &	,
		example &	ec
	)

void GD::save_load_online_state	(	vw &	all,
		io_buf &	model_file,
		bool	read,
		bool	text,
		double &	total_weight,
		GD::gd *	g = nullptr,
		uint32_t	ftrl_size = 0
	)

void GD::save_load_regressor	(	vw &	all,
		io_buf &	model_file,
		bool	read,
		bool	text
	)

VW::LEARNER::base_learner* GD::setup	(	VW::config::options_i &	options,
		vw &	all
	)

float GD::sign ( float  w )

inline

float GD::trunc_weight ( const float  w, const float  gravity  )

inline

void GD::vec_add ( float &  p, const float  fx, const float &  fw  )

inline

template<class T >

void GD::vec_add_multipredict ( multipredict_info< T > &  mp, const float  fx, uint64_t  fi  )

inline