vw_slim Namespace Reference

Namespaces
	internal

Classes
class	example_predict_builder
class	feature_offset_guard
class	model_parser
class	namespace_copy_guard
class	stride_shift_guard
class	vw_predict
	Vowpal Wabbit slim predictor. Supports: regression, multi-class classification and contextual bandits. More...

Enumerations
enum	vw_predict_exploration { epsilon_greedy, softmax, bag }
	Exploration algorithm specified by the model. More...

Functions
template<class T >
void	find_opt (std::string const &command_line_args, std::string arg_name, std::vector< T > &out_values)
std::vector< std::string >	find_opt (std::string const &command_line_args, std::string arg_name)
bool	find_opt_float (std::string const &command_line_args, std::string arg_name, float &value)
bool	find_opt_int (std::string const &command_line_args, std::string arg_name, int &value)
uint64_t	ceil_log_2 (uint64_t v)

Enumeration Type Documentation

enum vw_slim::vw_predict_exploration

Exploration algorithm specified by the model.

Enumerator
epsilon_greedy
softmax
bag

Function Documentation

uint64_t vw_slim::ceil_log_2

(

uint64_t

v

)

template<class T >

void vw_slim::find_opt	(	std::string const &	command_line_args,
		std::string	arg_name,
		std::vector< T > &	out_values
	)

std::vector<std::string> vw_slim::find_opt	(	std::string const &	command_line_args,
		std::string	arg_name
	)

bool vw_slim::find_opt_float	(	std::string const &	command_line_args,
		std::string	arg_name,
		float &	value
	)

bool vw_slim::find_opt_int	(	std::string const &	command_line_args,
		std::string	arg_name,
		int &	value
	)