opennn::ModelSelection Class Reference

Orchestrates model selection by combining inputs selection and neurons selection over a TrainingStrategy. More...

#include <model_selection.h>

Public Member Functions
	ModelSelection (TrainingStrategy *=nullptr)
	Constructs a model selection bound to an optional training strategy.
const TrainingStrategy *	get_training_strategy () const
bool	has_training_strategy () const
void	set (TrainingStrategy *new_training_strategy)
void	set_default ()
	Restores default algorithms and parameters for inputs and neurons selection.
void	check () const
	Checks that the training strategy and its dependencies are consistent before running selection.
NeuronsSelectionResults	perform_neurons_selection ()
	Runs the configured neurons selection algorithm.
InputsSelectionResults	perform_input_selection ()
	Runs the configured inputs selection algorithm.
void	from_JSON (const JsonDocument &)
	Loads model selection configuration from a JSON document.
void	to_JSON (JsonWriter &) const
	Writes the current model selection configuration to a JSON writer.
void	save (const filesystem::path &) const
	Saves the model selection configuration to disk.
void	load (const filesystem::path &)
	Loads the model selection configuration from disk.

Detailed Description

Orchestrates model selection by combining inputs selection and neurons selection over a TrainingStrategy.

Constructor & Destructor Documentation

ModelSelection()

opennn::ModelSelection::ModelSelection

(

TrainingStrategy *

= nullptr

)

Constructs a model selection bound to an optional training strategy.

Member Function Documentation

check()

void opennn::ModelSelection::check

(

)

const

Checks that the training strategy and its dependencies are consistent before running selection.

from_JSON()

void opennn::ModelSelection::from_JSON

(

const JsonDocument &

)

Loads model selection configuration from a JSON document.

get_training_strategy()

const TrainingStrategy * opennn::ModelSelection::get_training_strategy ( ) const

inline

has_training_strategy()

bool opennn::ModelSelection::has_training_strategy ( ) const

inline

load()

void opennn::ModelSelection::load

(

const filesystem::path &

)

Loads the model selection configuration from disk.

perform_input_selection()

InputsSelectionResults opennn::ModelSelection::perform_input_selection

(

)

Runs the configured inputs selection algorithm.

Returns

Results including the optimal input variables and error histories.

perform_neurons_selection()

NeuronsSelectionResults opennn::ModelSelection::perform_neurons_selection

(

)

Runs the configured neurons selection algorithm.

Returns

Results including the optimal neuron count and error histories.

save()

void opennn::ModelSelection::save

(

const filesystem::path &

)

const

Saves the model selection configuration to disk.

set()

void opennn::ModelSelection::set ( TrainingStrategy * new_training_strategy )

inline

set_default()

void opennn::ModelSelection::set_default

(

)

Restores default algorithms and parameters for inputs and neurons selection.

to_JSON()

void opennn::ModelSelection::to_JSON

(

JsonWriter &

)

const

Writes the current model selection configuration to a JSON writer.