opennn::NeuronsSelectionResults Struct Reference

Aggregated results of a neurons selection run including the optimal neuron count and error histories. More...

#include <neuron_selection.h>

Public Member Functions
	NeuronsSelectionResults (const Index maximum_epochs=0)
	Builds an empty results structure able to hold up to the given number of epochs.
void	resize_history (const Index new_size)
	Resizes the recorded error and neuron-count histories.
string	write_stopping_condition () const
	Returns a human-readable string describing the stopping condition that ended the run.
void	print () const
	Prints a summary of the selection results to stdout.

Public Attributes
VectorI	neurons_number_history
Index	optimal_neurons_number = 1
VectorR	optimal_parameters
VectorR	training_error_history
VectorR	validation_error_history
float	optimum_training_error = 10.0f
float	optimum_validation_error = 10.0f
NeuronSelection::StoppingCondition	stopping_condition = NeuronSelection::StoppingCondition::MaximumTime
string	elapsed_time

Detailed Description

Aggregated results of a neurons selection run including the optimal neuron count and error histories.

Constructor & Destructor Documentation

NeuronsSelectionResults()

opennn::NeuronsSelectionResults::NeuronsSelectionResults

(

const Index

maximum_epochs = 0

)

Builds an empty results structure able to hold up to the given number of epochs.

Member Function Documentation

print()

void opennn::NeuronsSelectionResults::print

(

)

const

Prints a summary of the selection results to stdout.

resize_history()

void opennn::NeuronsSelectionResults::resize_history

(

const Index

new_size

)

Resizes the recorded error and neuron-count histories.

write_stopping_condition()

string opennn::NeuronsSelectionResults::write_stopping_condition

(

)

const

Returns a human-readable string describing the stopping condition that ended the run.

Member Data Documentation

elapsed_time

string opennn::NeuronsSelectionResults::elapsed_time

neurons_number_history

VectorI opennn::NeuronsSelectionResults::neurons_number_history

optimal_neurons_number

Index opennn::NeuronsSelectionResults::optimal_neurons_number = 1

optimal_parameters

VectorR opennn::NeuronsSelectionResults::optimal_parameters

optimum_training_error

float opennn::NeuronsSelectionResults::optimum_training_error = 10.0f

optimum_validation_error

float opennn::NeuronsSelectionResults::optimum_validation_error = 10.0f

stopping_condition

NeuronSelection::StoppingCondition opennn::NeuronsSelectionResults::stopping_condition = NeuronSelection::StoppingCondition::MaximumTime

training_error_history

VectorR opennn::NeuronsSelectionResults::training_error_history

validation_error_history

VectorR opennn::NeuronsSelectionResults::validation_error_history