OpenNN::LevenbergMarquardtAlgorithm Member List

This is the complete list of members for OpenNN::LevenbergMarquardtAlgorithm, including all inherited members.

calculate_gradient(const Vector< double > &, const Matrix< double > &) const	OpenNN::LevenbergMarquardtAlgorithm
calculate_Hessian_approximation(const Matrix< double > &) const	OpenNN::LevenbergMarquardtAlgorithm
calculate_performance(const Vector< double > &) const	OpenNN::LevenbergMarquardtAlgorithm
check(void) const	OpenNN::LevenbergMarquardtAlgorithm	virtual
damping_parameter	OpenNN::LevenbergMarquardtAlgorithm	private
damping_parameter_factor	OpenNN::LevenbergMarquardtAlgorithm	private
damping_parameter_history	OpenNN::LevenbergMarquardtAlgorithm	private
display	OpenNN::TrainingAlgorithm	protected
display_period	OpenNN::TrainingAlgorithm	protected
error_gradient_norm	OpenNN::LevenbergMarquardtAlgorithm	private
error_parameters_norm	OpenNN::LevenbergMarquardtAlgorithm	private
from_XML(const tinyxml2::XMLDocument &)	OpenNN::LevenbergMarquardtAlgorithm	virtual
get_damping_parameter(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_damping_parameter_factor(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_damping_parameter_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_display(void) const	OpenNN::TrainingAlgorithm
get_display_period(void) const	OpenNN::TrainingAlgorithm
get_error_gradient_norm(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_error_parameters_norm(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_gradient_norm_goal(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_maximum_damping_parameter(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_maximum_generalization_performance_decreases(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_maximum_iterations_number(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_maximum_time(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_minimum_damping_parameter(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_minimum_parameters_increment_norm(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_minimum_performance_increase(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_neural_network_file_name(void) const	OpenNN::TrainingAlgorithm
get_performance_functional_pointer(void) const	OpenNN::TrainingAlgorithm
get_performance_goal(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_damping_parameter_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_elapsed_time_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_generalization_performance_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_gradient_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_gradient_norm_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_Hessian_approximation_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_parameters_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_parameters_norm_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_reserve_performance_history(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_save_period(void) const	OpenNN::TrainingAlgorithm
get_warning_gradient_norm(void) const	OpenNN::LevenbergMarquardtAlgorithm
get_warning_parameters_norm(void) const	OpenNN::LevenbergMarquardtAlgorithm
gradient_norm_goal	OpenNN::LevenbergMarquardtAlgorithm	private
has_performance_functional(void) const	OpenNN::TrainingAlgorithm
initialize_random(void)	OpenNN::TrainingAlgorithm	virtual
LevenbergMarquardtAlgorithm(void)	OpenNN::LevenbergMarquardtAlgorithm	explicit
LevenbergMarquardtAlgorithm(PerformanceFunctional *)	OpenNN::LevenbergMarquardtAlgorithm	explicit
LevenbergMarquardtAlgorithm(const tinyxml2::XMLDocument &)	OpenNN::LevenbergMarquardtAlgorithm	explicit
load(const std::string &)	OpenNN::TrainingAlgorithm
maximum_damping_parameter	OpenNN::LevenbergMarquardtAlgorithm	private
maximum_generalization_performance_decreases	OpenNN::LevenbergMarquardtAlgorithm	private
maximum_iterations_number	OpenNN::LevenbergMarquardtAlgorithm	private
maximum_time	OpenNN::LevenbergMarquardtAlgorithm	private
minimum_damping_parameter	OpenNN::LevenbergMarquardtAlgorithm	private
minimum_parameters_increment_norm	OpenNN::LevenbergMarquardtAlgorithm	private
minimum_performance_increase	OpenNN::LevenbergMarquardtAlgorithm	private
neural_network_file_name	OpenNN::TrainingAlgorithm	protected
operator=(const TrainingAlgorithm &)	OpenNN::TrainingAlgorithm	virtual
operator==(const TrainingAlgorithm &) const	OpenNN::TrainingAlgorithm	virtual
perform_Householder_QR_decomposition(const Matrix< double > &, const Vector< double > &) const	OpenNN::LevenbergMarquardtAlgorithm
perform_training(void)	OpenNN::LevenbergMarquardtAlgorithm	virtual
performance_functional_pointer	OpenNN::TrainingAlgorithm	protected
performance_goal	OpenNN::LevenbergMarquardtAlgorithm	private
print(void) const	OpenNN::TrainingAlgorithm
reserve_damping_parameter_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_elapsed_time_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_generalization_performance_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_gradient_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_gradient_norm_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_Hessian_approximation_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_parameters_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_parameters_norm_history	OpenNN::LevenbergMarquardtAlgorithm	private
reserve_performance_history	OpenNN::LevenbergMarquardtAlgorithm	private
save(const std::string &) const	OpenNN::TrainingAlgorithm
save_period	OpenNN::TrainingAlgorithm	protected
set(void)	OpenNN::TrainingAlgorithm
set(PerformanceFunctional *)	OpenNN::TrainingAlgorithm
set_damping_parameter(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_damping_parameter_factor(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_default(void)	OpenNN::LevenbergMarquardtAlgorithm	virtual
set_display(const bool &)	OpenNN::TrainingAlgorithm
set_display_period(const size_t &)	OpenNN::LevenbergMarquardtAlgorithm
set_error_gradient_norm(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_error_parameters_norm(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_gradient_norm_goal(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_maximum_damping_parameter(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_maximum_generalization_performance_decreases(const size_t &)	OpenNN::LevenbergMarquardtAlgorithm
set_maximum_iterations_number(const size_t &)	OpenNN::LevenbergMarquardtAlgorithm
set_maximum_time(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_minimum_damping_parameter(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_minimum_parameters_increment_norm(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_minimum_performance_increase(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_neural_network_file_name(const std::string &)	OpenNN::TrainingAlgorithm
set_performance_functional_pointer(PerformanceFunctional *)	OpenNN::TrainingAlgorithm	virtual
set_performance_goal(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_all_training_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm	virtual
set_reserve_damping_parameter_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_elapsed_time_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_generalization_performance_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_gradient_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_gradient_norm_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_Hessian_approximation_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_parameters_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_parameters_norm_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_reserve_performance_history(const bool &)	OpenNN::LevenbergMarquardtAlgorithm
set_save_period(const size_t &)	OpenNN::TrainingAlgorithm
set_warning_gradient_norm(const double &)	OpenNN::LevenbergMarquardtAlgorithm
set_warning_parameters_norm(const double &)	OpenNN::LevenbergMarquardtAlgorithm
to_string(void) const	OpenNN::TrainingAlgorithm	virtual
to_string_matrix(void) const	OpenNN::LevenbergMarquardtAlgorithm	virtual
to_XML(void) const	OpenNN::LevenbergMarquardtAlgorithm	virtual
TrainingAlgorithm(void)	OpenNN::TrainingAlgorithm	explicit
TrainingAlgorithm(PerformanceFunctional *)	OpenNN::TrainingAlgorithm	explicit
TrainingAlgorithm(const tinyxml2::XMLDocument &)	OpenNN::TrainingAlgorithm	explicit
warning_gradient_norm	OpenNN::LevenbergMarquardtAlgorithm	private
warning_parameters_norm	OpenNN::LevenbergMarquardtAlgorithm	private
write_training_algorithm_type(void) const	OpenNN::LevenbergMarquardtAlgorithm	virtual
~LevenbergMarquardtAlgorithm(void)	OpenNN::LevenbergMarquardtAlgorithm	virtual
~TrainingAlgorithm(void)	OpenNN::TrainingAlgorithm	virtual