Lightweight Neural Network++ documentation

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trainer Member List

This is the complete list of members for trainer, including all inherited members.

BINARY_ACCURACY	trainer	[static]
certificate()	trainer
check(float *output, float *target) const	trainer	[protected, virtual]
clear()	trainer
continue_training(int start)	trainer	[protected, virtual]
get_accuracy_filename() const	trainer	[inline]
get_accuracy_mode() const	trainer	[inline]
get_accuracy_on_certification() const	trainer	[inline]
get_accuracy_on_training() const	trainer	[inline]
get_accuracy_on_validation() const	trainer	[inline]
get_best_epoch() const	trainer	[inline]
get_best_error() const	trainer	[inline]
get_best_net() const	trainer	[inline, protected]
get_current_epoch()	trainer	[inline]
get_epochs_checking_error() const	trainer	[inline]
get_epochs_report() const	trainer	[inline]
get_error_filename() const	trainer	[inline]
get_error_on_certification() const	trainer	[inline]
get_error_on_training() const	trainer	[inline]
get_error_on_validation() const	trainer	[inline]
get_iomanager() const	trainer	[inline]
get_max_epochs() const	trainer	[inline]
get_min_error() const	trainer	[inline]
get_network() const	trainer	[inline]
get_no_of_inputs() const	trainer	[inline]
get_no_of_outputs() const	trainer	[inline]
get_stop_on_overfit() const	trainer	[inline]
get_stopping_cause() const	trainer	[inline]
get_stopping_cause_string() const	trainer	[virtual]
get_training_validation() const	trainer	[inline]
get_wanted_accuracy()	trainer	[inline]
load_certification(const string &filename)	trainer
load_training(const string &filename)	trainer
load_validation(const string &filename)	trainer
MAXGUESS_ACCURACY	trainer	[static]
NO_ACCURACY	trainer	[static]
operator=(const trainer &other)	trainer
print_input(float *input) const	trainer	[protected, virtual]
print_output(float *output) const	trainer	[protected, virtual]
set_accuracy_filename(const string &filename)	trainer
set_accuracy_mode(short int mode)	trainer	[virtual]
set_best_epoch(int epoch)	trainer	[inline, protected]
set_best_error_on_validation(float error)	trainer	[inline, protected]
set_best_net(network *best)	trainer	[inline, protected]
set_epochs_checking_error(int epochs)	trainer
set_epochs_report(int e)	trainer
set_error_filename(const string &filename)	trainer
set_iomanager(iomanage *iomanager)	trainer
set_max_epochs(int nepochs)	trainer
set_min_error(float error)	trainer	[inline]
set_network(network *newnet)	trainer
set_network_best()	trainer
set_stop_on_overfit(bool stop, int batches_increasing=0, float valid_higher=0.0)	trainer
set_stopping_cause(short int cause)	trainer	[inline, protected]
set_training_validation(bool train_valid)	trainer
set_wanted_accuracy(float accuracy)	trainer
show_results(bool verbose=false, int set=1) const	trainer
start_at_epoch(int epoch)	trainer	[inline]
STOPPING_MAX_EPOCHS	trainer	[static]
STOPPING_MIN_ERROR_REACHED_ON_BEST_ERROR	trainer	[static]
STOPPING_MIN_ERROR_REACHED_ON_TRAINING	trainer	[static]
STOPPING_MIN_ERROR_REACHED_ON_VALIDATION	trainer	[static]
STOPPING_OVERFIT	trainer	[static]
STOPPING_UNDEFINED_CAUSE	trainer	[static]
STOPPING_WANTED_ACCURACY_REACHED	trainer	[static]
test()	trainer
train(int mode=0, bool verbose=false)	trainer
train_batch(bool verbose=false)	trainer
train_online(bool verbose)	trainer
train_shuffle(bool verbose=false)	trainer
train_ssab(bool verbose=false, bool reset_ssab=false)	trainer
trainer(network *net, const string &error_filename="", const string &accuracy_filename="")	trainer
trainer(int inputs, int outputs, int hidden, const string &error_filename="", const string &accuracy_filename="")	trainer
trainer(const string &training_file, int hidden=0, const string &error_filename="", const string &accuracy_filename="", iomanage *iomanager=NULL)	trainer
trainer(const trainer &t)	trainer
using_best_net() const	trainer	[inline]
validate()	trainer
~trainer()	trainer	[virtual]

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