parameters Class Reference

#include <array_parameters.h>

Public Member Functions
weight &	operator[] (size_t i)
template<typename Lambda >
void	set_default (Lambda &&default_func)
uint32_t	stride_shift () const
uint32_t	stride () const
uint64_t	mask () const
uint64_t	seeded () const
void	shallow_copy (const parameters &input)
void	set_zero (size_t offset)
void	share (size_t length)
void	stride_shift (uint32_t stride_shift)
weight &	strided_index (size_t index)
bool	not_null ()

Public Attributes
bool	adaptive
bool	normalized
bool	sparse
dense_parameters	dense_weights
sparse_parameters	sparse_weights

Member Function Documentation

mask()

uint64_t parameters::mask ( ) const

inline

not_null()

bool parameters::not_null ( )

inline

operator[]()

weight& parameters::operator[] ( size_t  i )

inline

seeded()

uint64_t parameters::seeded ( ) const

inline

set_default()

template<typename Lambda >

void parameters::set_default ( Lambda &&  default_func )

inline

set_zero()

void parameters::set_zero ( size_t  offset )

inline

shallow_copy()

void parameters::shallow_copy ( const parameters &  input )

inline

share()

void parameters::share ( size_t  length )

inline

stride()

uint32_t parameters::stride ( ) const

inline

stride_shift() [1/2]

uint32_t parameters::stride_shift ( ) const

inline

stride_shift() [2/2]

void parameters::stride_shift ( uint32_t  stride_shift )

inline

strided_index()

weight& parameters::strided_index ( size_t  index )

inline

Member Data Documentation

adaptive

bool parameters::adaptive

dense_weights

dense_parameters parameters::dense_weights

normalized

bool parameters::normalized

sparse

bool parameters::sparse

sparse_weights

sparse_parameters parameters::sparse_weights

---

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

• /__w/vowpal_wabbit/vowpal_wabbit/vowpalwabbit/array_parameters.h