opennn::InputSelection Class Reference

#include <opennn/model_selection/input_selection.h>

Inheritance diagram for opennn::InputSelection:

Public Types
enum class	StoppingCondition {   MaximumTime , ValidationErrorGoal , MaximumInputs , MaximumEpochs ,   MaximumValidationFailures }

Public Member Functions
	InputSelection (Training *=nullptr)
virtual	~InputSelection ()=default
virtual Index	get_minimum_inputs_number () const =0
virtual Index	get_maximum_inputs_number () const =0
virtual InputSelectionResult	perform_input_selection ()=0
string	get_name () const
virtual void	from_JSON (const JsonDocument &)=0
virtual void	to_JSON (JsonWriter &) const =0
void	save (const filesystem::path &) const
void	load (const filesystem::path &)
Public Member Functions inherited from opennn::SelectionAlgorithm
	SelectionAlgorithm (Training *new_training=nullptr)
virtual	~SelectionAlgorithm ()=default
const Training *	get_training () const noexcept
void	set (Training *new_training)
void	set_trials_number (const Index new_trials_number)
void	set_display (bool new_display)
void	set_validation_error_goal (const float new_validation_error_goal)
void	set_maximum_epochs (const Index new_maximum_epochs)
void	set_maximum_validation_failures (const Index new_maximum_validation_failures)
void	set_maximum_time (const float new_maximum_time)
void	set_folds_number (const Index new_folds_number)

Protected Member Functions
void	configure_network_inputs (Network *, Dataset *, Index) const
void	install_optimal_inputs (Network *, Dataset *, const vector< Index > &optimal_input_indices, const vector< Index > &target_indices, const vector< Index > &time_indices) const

Protected Attributes
string	name
Protected Attributes inherited from opennn::SelectionAlgorithm
Training *	training = nullptr
Index	trials_number = 1
Index	folds_number = 1
bool	display = true
float	validation_error_goal = 0
Index	maximum_epochs = 10
Index	maximum_validation_failures = 100
float	maximum_time = 0

Member Enumeration Documentation

StoppingCondition

enum class opennn::InputSelection::StoppingCondition

strong

Enumerator
MaximumTime
ValidationErrorGoal
MaximumInputs
MaximumEpochs
MaximumValidationFailures

Constructor & Destructor Documentation

InputSelection()

opennn::InputSelection::InputSelection ( Training * = nullptr )

explicit

~InputSelection()

virtual opennn::InputSelection::~InputSelection ( )

virtualdefault

Member Function Documentation

configure_network_inputs()

void opennn::InputSelection::configure_network_inputs ( Network * , Dataset * , Index  ) const

protected

from_JSON()

virtual void opennn::InputSelection::from_JSON ( const JsonDocument & )

pure virtual

Implemented in opennn::GeneticAlgorithm, and opennn::GrowingInputs.

get_maximum_inputs_number()

virtual Index opennn::InputSelection::get_maximum_inputs_number ( ) const

pure virtual

Implemented in opennn::GeneticAlgorithm, and opennn::GrowingInputs.

get_minimum_inputs_number()

virtual Index opennn::InputSelection::get_minimum_inputs_number ( ) const

pure virtual

Implemented in opennn::GeneticAlgorithm, and opennn::GrowingInputs.

get_name()

string opennn::InputSelection::get_name ( ) const

inline

install_optimal_inputs()

void opennn::InputSelection::install_optimal_inputs ( Network * , Dataset * , const vector< Index > & optimal_input_indices, const vector< Index > & target_indices, const vector< Index > & time_indices ) const

protected

load()

void opennn::InputSelection::load

(

const filesystem::path &

)

perform_input_selection()

virtual InputSelectionResult opennn::InputSelection::perform_input_selection ( )

pure virtual

Implemented in opennn::GeneticAlgorithm, and opennn::GrowingInputs.

save()

void opennn::InputSelection::save

(

const filesystem::path &

)

const

to_JSON()

virtual void opennn::InputSelection::to_JSON ( JsonWriter & ) const

pure virtual

Implemented in opennn::GeneticAlgorithm, and opennn::GrowingInputs.

Member Data Documentation

name

string opennn::InputSelection::name

protected