GD::gd Struct Reference

Public Attributes
double	total_weight
size_t	no_win_counter
size_t	early_stop_thres
float	initial_constant
float	neg_norm_power
float	neg_power_t
float	sparse_l2
float	update_multiplier
void(*	predict )(gd &, base_learner &, example &)
void(*	learn )(gd &, base_learner &, example &)
void(*	update )(gd &, base_learner &, example &)
float(*	sensitivity )(gd &, base_learner &, example &)
void(*	multipredict )(gd &, base_learner &, example &, size_t, size_t, polyprediction *, bool)
bool	adaptive_input
bool	normalized_input
bool	adax
vw *	all

Detailed Description

Definition at line 43 of file gd.cc.

Member Data Documentation

adaptive_input

bool GD::gd::adaptive_input

Definition at line 59 of file gd.cc.

Referenced by GD::save_load_online_state().

adax

bool GD::gd::adax

Definition at line 61 of file gd.cc.

Referenced by GD::set_learn().

all

vw* GD::gd::all

Definition at line 63 of file gd.cc.

Referenced by GD::compute_update(), GD::end_pass(), GD::get_pred_per_update(), GD::get_scale(), GD::multipredict(), GD::predict(), GD::save_load(), and GD::train().

early_stop_thres

size_t GD::gd::early_stop_thres

Definition at line 48 of file gd.cc.

Referenced by GD::end_pass().

initial_constant

float GD::gd::initial_constant

Definition at line 49 of file gd.cc.

Referenced by GD::save_load().

learn

void(* GD::gd::learn) (gd &, base_learner &, example &)

Definition at line 55 of file gd.cc.

Referenced by GD::set_learn().

multipredict

void(* GD::gd::multipredict) (gd &, base_learner &, example &, size_t, size_t, polyprediction *, bool)

Definition at line 58 of file gd.cc.

Referenced by GD::setup().

neg_norm_power

float GD::gd::neg_norm_power

Definition at line 50 of file gd.cc.

Referenced by GD::get_pred_per_update().

neg_power_t

float GD::gd::neg_power_t

Definition at line 51 of file gd.cc.

Referenced by GD::get_pred_per_update(), and GD::get_scale().

no_win_counter

size_t GD::gd::no_win_counter

Definition at line 47 of file gd.cc.

Referenced by GD::end_pass().

normalized_input

bool GD::gd::normalized_input

Definition at line 60 of file gd.cc.

Referenced by GD::save_load_online_state().

predict

void(* GD::gd::predict) (gd &, base_learner &, example &)

Definition at line 54 of file gd.cc.

Referenced by GD::learn(), and GD::setup().

sensitivity

float(* GD::gd::sensitivity) (gd &, base_learner &, example &)

Definition at line 57 of file gd.cc.

Referenced by GD::set_learn(), and GD::setup().

sparse_l2

float GD::gd::sparse_l2

Definition at line 52 of file gd.cc.

Referenced by GD::compute_update(), and GD::set_learn().

total_weight

double GD::gd::total_weight

Definition at line 46 of file gd.cc.

Referenced by GD::get_pred_per_update(), and GD::save_load().

update

void(* GD::gd::update) (gd &, base_learner &, example &)

Definition at line 56 of file gd.cc.

Referenced by GD::set_learn(), and GD::setup().

update_multiplier

float GD::gd::update_multiplier

Definition at line 53 of file gd.cc.

Referenced by GD::get_pred_per_update(), and GD::train().

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The documentation for this struct was generated from the following file:

• /mnt/c/w/linux/vowpal_wabbit/vowpalwabbit/gd.cc