Inheritance diagram for OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults:

Public Member Functions
	LevenbergMarquardtAlgorithmResults (void)

	LevenbergMarquardtAlgorithmResults (LevenbergMarquardtAlgorithm *new_Levenberg_Marquardt_algorithm_pointer)

virtual	~LevenbergMarquardtAlgorithmResults (void)

void	resize_training_history (const size_t &)

std::string	to_string (void) const

Matrix< std::string >	write_final_results (const size_t &precision=3) const

Public Attributes
LevenbergMarquardtAlgorithm *	Levenberg_Marquardt_algorithm_pointer

Vector< Vector< double > >	parameters_history

Vector< double >	parameters_norm_history

Vector< double >	performance_history

Vector< double >	generalization_performance_history

Vector< Vector< double > >	gradient_history

Vector< double >	gradient_norm_history

Vector< Matrix< double > >	Hessian_approximation_history

Vector< double >	damping_parameter_history

Vector< double >	elapsed_time_history

Vector< double >	final_parameters

double	final_parameters_norm

double	final_performance

double	final_generalization_performance

Vector< double >	final_gradient

double	final_gradient_norm

double	elapsed_time

size_t	iterations_number

Detailed Description

This structure contains the training results for the Levenberg-Marquardt algorithm.

Member Function Documentation

void OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults::resize_training_history ( const size_t & new_size )

Resizes all the training history variables.

Parameters

new_size Size of training history variables.

The documentation for this struct was generated from the following files: