learner.h File Reference

#include <iostream>
#include "memory.h"
#include "multiclass.h"
#include "simple_label.h"
#include "parser.h"
#include <memory>

Go to the source code of this file.

Classes
struct	LEARNER::learner< T, E >
struct	LEARNER::func_data
struct	LEARNER::learn_data
struct	LEARNER::sensitivity_data
struct	LEARNER::save_load_data
struct	LEARNER::finish_example_data
struct	LEARNER::learner< T, E >

Namespaces
	prediction_type
	LEARNER

Typedefs
using	LEARNER::single_learner = learner< char, example >
using	LEARNER::multi_learner = learner< char, multi_ex >

Enumerations
enum	prediction_type::prediction_type_t {   prediction_type::scalar, prediction_type::scalars, prediction_type::action_scores, prediction_type::action_probs,   prediction_type::multiclass, prediction_type::multilabels, prediction_type::prob, prediction_type::multiclassprobs,   prediction_type::decision_probs }

Functions
const char *	prediction_type::to_string (prediction_type_t prediction_type)
func_data	LEARNER::tuple_dbf (void *data, base_learner *base, void(*func)(void *))
void	LEARNER::generic_driver (vw &all)
void	LEARNER::generic_driver (const std::vector< vw *> &all)
template<typename handler_type >
void	LEARNER::generic_driver_onethread (vw &all)
void	LEARNER::noop_sl (void *, io_buf &, bool, bool)
void	LEARNER::noop (void *)
float	LEARNER::noop_sensitivity (void *, base_learner &, example &)
float	LEARNER::recur_sensitivity (void *, base_learner &base, example &ec)
void	LEARNER::increment_offset (example &ex, const size_t increment, const size_t i)
void	LEARNER::increment_offset (multi_ex &ec_seq, const size_t increment, const size_t i)
void	LEARNER::decrement_offset (example &ex, const size_t increment, const size_t i)
void	LEARNER::decrement_offset (multi_ex &ec_seq, const size_t increment, const size_t i)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t ws, prediction_type::prediction_type_t pred_type)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (free_ptr< T > &dat, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t params_per_weight)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (void(*predict)(T &, L &, E &), size_t params_per_weight)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (free_ptr< T > &dat, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t params_per_weight, prediction_type::prediction_type_t pred_type)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t ws)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &))
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_learner (L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &))
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_multiclass_learner (free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), parser *p, size_t ws, prediction_type::prediction_type_t pred_type=prediction_type::multiclass)
template<class T , class E , class L >
learner< T, E > &	LEARNER::init_cost_sensitive_learner (free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), parser *p, size_t ws, prediction_type::prediction_type_t pred_type=prediction_type::multiclass)
template<class T , class E >
base_learner *	LEARNER::make_base (learner< T, E > &base)
template<class T , class E >
multi_learner *	LEARNER::as_multiline (learner< T, E > *l)
template<class T , class E >
single_learner *	LEARNER::as_singleline (learner< T, E > *l)
template<bool is_learn>
void	LEARNER::multiline_learn_or_predict (multi_learner &base, multi_ex &examples, const uint64_t offset, const uint32_t id=0)