opennn::InputsSelectionResults Struct Reference

Aggregated results of an inputs selection run including optimal inputs and error histories. More...

#include <inputs_selection.h>

Public Member Functions
	InputsSelectionResults (const Index=0)
	Builds an empty results structure able to hold up to the given number of epochs.
Index	get_epochs_number () const
	Returns the number of epochs actually recorded in the histories.
void	set (const Index=0)
	Resets the structure and reserves storage for the given number of epochs.
string	write_stopping_condition () const
	Returns a human-readable string describing the stopping condition that ended the run.
void	resize_history (const Index new_size)
	Resizes the recorded error histories.
void	print () const
	Prints a summary of the selection results to stdout.

Public Attributes
VectorR	optimal_parameters
VectorR	training_error_history
VectorR	validation_error_history
VectorR	mean_validation_error_history
VectorR	mean_training_error_history
float	optimum_training_error = MAX
float	optimum_validation_error = MAX
vector< string >	optimal_input_variable_names
vector< Index >	optimal_input_variables_indices
VectorB	optimal_inputs
InputsSelection::StoppingCondition	stopping_condition = InputsSelection::StoppingCondition::MaximumTime
string	elapsed_time

Detailed Description

Aggregated results of an inputs selection run including optimal inputs and error histories.

Constructor & Destructor Documentation

InputsSelectionResults()

opennn::InputsSelectionResults::InputsSelectionResults

(

const Index

= 0

)

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

Member Function Documentation

get_epochs_number()

Index opennn::InputsSelectionResults::get_epochs_number

(

)

const

Returns the number of epochs actually recorded in the histories.

print()

void opennn::InputsSelectionResults::print

(

)

const

Prints a summary of the selection results to stdout.

resize_history()

void opennn::InputsSelectionResults::resize_history

(

const Index

new_size

)

Resizes the recorded error histories.

set()

void opennn::InputsSelectionResults::set

(

const Index

= 0

)

Resets the structure and reserves storage for the given number of epochs.

write_stopping_condition()

string opennn::InputsSelectionResults::write_stopping_condition

(

)

const

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

Member Data Documentation

elapsed_time

string opennn::InputsSelectionResults::elapsed_time

mean_training_error_history

VectorR opennn::InputsSelectionResults::mean_training_error_history

mean_validation_error_history

VectorR opennn::InputsSelectionResults::mean_validation_error_history

optimal_input_variable_names

vector<string> opennn::InputsSelectionResults::optimal_input_variable_names

optimal_input_variables_indices

vector<Index> opennn::InputsSelectionResults::optimal_input_variables_indices

optimal_inputs

VectorB opennn::InputsSelectionResults::optimal_inputs

optimal_parameters

VectorR opennn::InputsSelectionResults::optimal_parameters

optimum_training_error

float opennn::InputsSelectionResults::optimum_training_error = MAX

optimum_validation_error

float opennn::InputsSelectionResults::optimum_validation_error = MAX

stopping_condition

InputsSelection::StoppingCondition opennn::InputsSelectionResults::stopping_condition = InputsSelection::StoppingCondition::MaximumTime

training_error_history

VectorR opennn::InputsSelectionResults::training_error_history

validation_error_history

VectorR opennn::InputsSelectionResults::validation_error_history