Vowpal Wabbit
Classes | Namespaces | Functions
gd.h File Reference
#include "parse_regressor.h"
#include "constant.h"
#include "interactions.h"
#include "array_parameters.h"
#include "gd_predict.h"

Classes

struct  GD::multipredict_info< T >
 

Namespaces

 GD
 

Functions

VW::LEARNER::base_learnerGD::setup (VW::config::options_i &options, vw &all)
 
float GD::finalize_prediction (shared_data *sd, vw_logger &logger, float ret)
 
void GD::print_audit_features (vw &, example &ec)
 
void GD::save_load_regressor (vw &all, io_buf &model_file, bool read, bool text)
 
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)
 
template<class T >
void GD::vec_add_multipredict (multipredict_info< T > &mp, const float fx, uint64_t fi)
 
template<class R , typename T >
void GD::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 GD::foreach_feature (vw &all, example &ec, R &dat)
 
template<class R , void(*)(R &, float, float &) T>
void GD::foreach_feature (vw &all, example &ec, R &dat)
 
float GD::inline_predict (vw &all, example &ec)
 
float GD::sign (float w)
 
float GD::trunc_weight (const float w, const float gravity)