Function Index - Fast Artificial Neural Network Library (FANN)

T
	test, neural_net
fann_	test
	test_data, neural_net
fann_	test_data
	train, neural_net
fann_	train
	train_epoch, neural_net
fann_	train_epoch
	train_on_data, neural_net
fann_	train_on_data
	train_on_file, neural_net
fann_	train_on_file
	training_data, training_data
~	training_data, training_data

fann_type * test( fann_type * input,
fann_type * desired_output )

Test with a set of inputs, and a set of desired outputs.

FANN_EXTERNAL fann_type * FANN_API fann_test( struct fann * ann,
fann_type * input,
fann_type * desired_output )

Test with a set of inputs, and a set of desired outputs.

float test_data( const training_data & data )

Test a set of training data and calculates the MSE for the training data.

FANN_EXTERNAL float FANN_API fann_test_data( struct fann * ann,
struct fann_train_data * data )

Test a set of training data and calculates the MSE for the training data.

void train( fann_type * input,
fann_type * desired_output )

Train one iteration with a set of inputs, and a set of desired outputs.

FANN_EXTERNAL void FANN_API fann_train( struct fann * ann,
fann_type * input,
fann_type * desired_output )

Train one iteration with a set of inputs, and a set of desired outputs.

float train_epoch( const training_data & data )

Train one epoch with a set of training data.

FANN_EXTERNAL float FANN_API fann_train_epoch( struct fann * ann,
struct fann_train_data * data )

Train one epoch with a set of training data.

void train_on_data( const training_data & data,
unsigned int max_epochs,
unsigned int epochs_between_reports,
float desired_error )

Trains on an entire dataset, for a period of time.

FANN_EXTERNAL void FANN_API fann_train_on_data(
    struct fann * ann,
    struct fann_train_data * data,
    unsigned int max_epochs,
    unsigned int epochs_between_reports,
    float desired_error
)

Trains on an entire dataset, for a period of time.

void train_on_file( const std:: string & filename,
unsigned int max_epochs,
unsigned int epochs_between_reports,
float desired_error )

Does the same as train_on_data, but reads the training data directly from a file.

FANN_EXTERNAL void FANN_API fann_train_on_file(
    struct fann * ann,
    const char * filename,
    unsigned int max_epochs,
    unsigned int epochs_between_reports,
    float desired_error
)

Does the same as fann_train_on_data, but reads the training data directly from a file.

training_data( ) : train_data(NULL)

Default constructor creates an empty neural net.

#ifdef USE_VIRTUAL_DESTRUCTOR virtual #endif ~training_data()

Provides automatic cleanup of data.