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VW::LEARNER::base_learner * | GD::setup (VW::config::options_i &options, vw &all) |
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float | GD::finalize_prediction (shared_data *sd, vw_logger &logger, float ret) |
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void | GD::print_features (vw &all, example &ec) |
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void | GD::print_audit_features (vw &, example &ec) |
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void | GD::save_load_regressor (vw &all, io_buf &model_file, bool read, bool text) |
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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) |
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template<class T > |
void | GD::vec_add_multipredict (multipredict_info< T > &mp, const float fx, uint64_t fi) |
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template<class DataT , class WeightOrIndexT , void(*)(DataT &, float, WeightOrIndexT) FuncT> |
void | GD::foreach_feature (vw &all, example &ec, DataT &dat) |
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template<class DataT , class WeightOrIndexT , void(*)(DataT &, float, WeightOrIndexT) FuncT> |
void | GD::foreach_feature (vw &all, example &ec, DataT &dat, size_t &num_interacted_features) |
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template<class DataT , void(*)(DataT &, float, float &) FuncT> |
void | GD::foreach_feature (vw &all, example &ec, DataT &dat) |
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template<class DataT , void(*)(DataT &, float, float &) FuncT> |
void | GD::foreach_feature (vw &all, example &ec, DataT &dat, size_t &num_interacted_features) |
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float | GD::inline_predict (vw &all, example &ec) |
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float | GD::inline_predict (vw &all, example &ec, size_t &num_generated_features) |
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float | GD::trunc_weight (const float w, const float gravity) |
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template<class R , class S , void(*)(R &, float, S) T, bool audit, void(*)(R &, const audit_strings *) audit_func> |
void | INTERACTIONS::generate_interactions (vw &all, example_predict &ec, R &dat, size_t &num_interacted_features) |
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template<class R , class S , void(*)(R &, float, S) T> |
void | INTERACTIONS::generate_interactions (vw &all, example_predict &ec, R &dat, size_t &num_interacted_features) |
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