nn Struct Reference

Public Member Functions
	~nn ()

Public Attributes
uint32_t	k
loss_function *	squared_loss
example	output_layer
example	hiddenbias
example	outputweight
float	prediction
size_t	increment
bool	dropout
uint64_t	xsubi
uint64_t	save_xsubi
bool	inpass
bool	finished_setup
bool	multitask
float *	hidden_units
bool *	dropped_out
polyprediction *	hidden_units_pred
polyprediction *	hiddenbias_pred
vw *	all
std::shared_ptr< rand_state >	_random_state

Detailed Description

Definition at line 24 of file nn.cc.

Constructor & Destructor Documentation

~nn()

nn::~nn ( )

inline

Definition at line 49 of file nn.cc.

References VW::dealloc_example().

  {
    delete squared_loss;
    free(hidden_units);
    free(dropped_out);
    free(hidden_units_pred);
    free(hiddenbias_pred);
    VW::dealloc_example(nullptr, output_layer);
    VW::dealloc_example(nullptr, hiddenbias);
    VW::dealloc_example(nullptr, outputweight);
  }

Member Data Documentation

_random_state

std::shared_ptr<rand_state> nn::_random_state

Definition at line 47 of file nn.cc.

Referenced by predict_or_learn_multi().

all

vw* nn::all

Definition at line 46 of file nn.cc.

Referenced by end_pass(), and predict_or_learn_multi().

dropout

bool nn::dropout

Definition at line 33 of file nn.cc.

Referenced by predict_or_learn_multi().

dropped_out

bool* nn::dropped_out

Definition at line 41 of file nn.cc.

Referenced by predict_or_learn_multi().

finished_setup

bool nn::finished_setup

Definition at line 37 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

hidden_units

float* nn::hidden_units

Definition at line 40 of file nn.cc.

hidden_units_pred

polyprediction* nn::hidden_units_pred

Definition at line 43 of file nn.cc.

Referenced by predict_or_learn_multi().

hiddenbias

example nn::hiddenbias

Definition at line 29 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

hiddenbias_pred

polyprediction* nn::hiddenbias_pred

Definition at line 44 of file nn.cc.

Referenced by predict_or_learn_multi().

increment

size_t nn::increment

Definition at line 32 of file nn.cc.

Referenced by finish_setup().

inpass

bool nn::inpass

Definition at line 36 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

k

uint32_t nn::k

Definition at line 26 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

multitask

bool nn::multitask

Definition at line 38 of file nn.cc.

Referenced by nn_setup(), and predict_or_learn_multi().

output_layer

example nn::output_layer

Definition at line 28 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

outputweight

example nn::outputweight

Definition at line 30 of file nn.cc.

Referenced by finish_setup(), and predict_or_learn_multi().

prediction

float nn::prediction

Definition at line 31 of file nn.cc.

Referenced by predict_or_learn_multi().

save_xsubi

uint64_t nn::save_xsubi

Definition at line 35 of file nn.cc.

Referenced by end_pass().

squared_loss

loss_function* nn::squared_loss

Definition at line 27 of file nn.cc.

Referenced by predict_or_learn_multi().

xsubi

uint64_t nn::xsubi

Definition at line 34 of file nn.cc.

Referenced by end_pass(), and predict_or_learn_multi().

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

• /mnt/c/w/linux/vowpal_wabbit/vowpalwabbit/nn.cc