, including all inherited members.
calculate_directional_performance(const Vector< double > &, double) | OpenNN::PerformanceFunctional | |
calculate_directional_performance_derivative(const Vector< double > &, double) | OpenNN::PerformanceFunctional | |
calculate_directional_performance_second_derivative(const Vector< double > &, double) | OpenNN::PerformanceFunctional | |
calculate_evaluation(void) const | OpenNN::PerformanceFunctional | |
calculate_evaluation(const Vector< double > &) | OpenNN::PerformanceFunctional | |
calculate_first_order_evaluation(void) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_first_order_Taylor_approximation(const Vector< double > &) const | OpenNN::PerformanceFunctional | |
calculate_generalization_evaluation(void) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_gradient(void) const | OpenNN::PerformanceFunctional | |
calculate_gradient(const Vector< double > &) | OpenNN::PerformanceFunctional | |
calculate_Hessian(void) const | OpenNN::PerformanceFunctional | |
calculate_Hessian(const Vector< double > &) | OpenNN::PerformanceFunctional | |
calculate_inverse_Hessian(void) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_second_order_evaluation(void) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_second_order_Taylor_approximation(const Vector< double > &) const | OpenNN::PerformanceFunctional | |
calculate_vector_dot_Hessian(const Vector< double > &) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_zero_order_evaluation(void) const | OpenNN::PerformanceFunctional | [virtual] |
calculate_zero_order_Taylor_approximation(const Vector< double > &) const | OpenNN::PerformanceFunctional | |
construct_constraints_term(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
construct_constraints_term(const PerformanceTermType &, MathematicalModel *) | OpenNN::PerformanceFunctional | |
construct_constraints_term(const PerformanceTermType &, DataSet *) | OpenNN::PerformanceFunctional | |
construct_constraints_term(const PerformanceTermType &, MathematicalModel *, DataSet *) | OpenNN::PerformanceFunctional | |
construct_constraints_term(const std::string &) | OpenNN::PerformanceFunctional | |
construct_objective_term(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
construct_objective_term(const PerformanceTermType &, MathematicalModel *) | OpenNN::PerformanceFunctional | |
construct_objective_term(const PerformanceTermType &, DataSet *) | OpenNN::PerformanceFunctional | |
construct_objective_term(const PerformanceTermType &, MathematicalModel *, DataSet *) | OpenNN::PerformanceFunctional | |
construct_objective_term(const std::string &) | OpenNN::PerformanceFunctional | |
construct_regularization_term(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
construct_regularization_term(const PerformanceTermType &, MathematicalModel *) | OpenNN::PerformanceFunctional | |
construct_regularization_term(const PerformanceTermType &, DataSet *) | OpenNN::PerformanceFunctional | |
construct_regularization_term(const PerformanceTermType &, MathematicalModel *, DataSet *) | OpenNN::PerformanceFunctional | |
construct_regularization_term(const std::string &) | OpenNN::PerformanceFunctional | |
CROSS_ENTROPY_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
destruct_all_terms(void) | OpenNN::PerformanceFunctional | |
destruct_constraints_term(void) | OpenNN::PerformanceFunctional | |
destruct_objective_term(void) | OpenNN::PerformanceFunctional | |
destruct_regularization_term(void) | OpenNN::PerformanceFunctional | |
FINAL_SOLUTIONS_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
from_XML(TiXmlElement *) | OpenNN::PerformanceFunctional | [virtual] |
get_constraints_term_flag(void) const | OpenNN::PerformanceFunctional | |
get_constraints_term_pointer(void) | OpenNN::PerformanceFunctional | [inline] |
get_constraints_term_type(void) const | OpenNN::PerformanceFunctional | |
get_display(void) const | OpenNN::PerformanceFunctional | |
get_neural_network_pointer(void) const | OpenNN::PerformanceFunctional | [inline] |
get_objective_term_flag(void) const | OpenNN::PerformanceFunctional | |
get_objective_term_pointer(void) const | OpenNN::PerformanceFunctional | [inline] |
get_objective_term_type(void) const | OpenNN::PerformanceFunctional | |
get_regularization_term_flag(void) const | OpenNN::PerformanceFunctional | |
get_regularization_term_pointer(void) const | OpenNN::PerformanceFunctional | [inline] |
get_regularization_term_type(void) const | OpenNN::PerformanceFunctional | |
INDEPENDENT_PARAMETERS_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
INVERSE_SUM_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
load(const std::string &) | OpenNN::PerformanceFunctional | [virtual] |
MEAN_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
MINKOWSKI_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
NEURAL_PARAMETERS_NORM enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
NONE enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
NORMALIZED_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
OUTPUTS_INTEGRALS enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
PerformanceFunctional(void) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(PerformanceTerm *) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(NeuralNetwork *) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(NeuralNetwork *, DataSet *) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(NeuralNetwork *, MathematicalModel *) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(NeuralNetwork *, MathematicalModel *, DataSet *) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(const std::string &) | OpenNN::PerformanceFunctional | [explicit] |
PerformanceFunctional(const PerformanceFunctional &) | OpenNN::PerformanceFunctional | |
PerformanceTermType enum name | OpenNN::PerformanceFunctional | |
print(void) const | OpenNN::PerformanceFunctional | [virtual] |
ROOT_MEAN_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
save(const std::string &) const | OpenNN::PerformanceFunctional | [virtual] |
set_constraints_term_flag(const bool &) | OpenNN::PerformanceFunctional | |
set_constraints_term_pointer(PerformanceTerm *) | OpenNN::PerformanceFunctional | |
set_constraints_term_type(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
set_constraints_term_type(const std::string &) | OpenNN::PerformanceFunctional | |
set_default(void) | OpenNN::PerformanceFunctional | |
set_display(const bool &) | OpenNN::PerformanceFunctional | |
set_neural_network_pointer(NeuralNetwork *) | OpenNN::PerformanceFunctional | |
set_objective_term_flag(const bool &) | OpenNN::PerformanceFunctional | |
set_objective_term_pointer(PerformanceTerm *) | OpenNN::PerformanceFunctional | |
set_objective_term_type(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
set_objective_term_type(const std::string &) | OpenNN::PerformanceFunctional | |
set_regularization_term_flag(const bool &) | OpenNN::PerformanceFunctional | |
set_regularization_term_pointer(PerformanceTerm *) | OpenNN::PerformanceFunctional | |
set_regularization_term_type(const PerformanceTermType &) | OpenNN::PerformanceFunctional | |
set_regularization_term_type(const std::string &) | OpenNN::PerformanceFunctional | |
SOLUTION_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
SUM_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
to_XML(void) const | OpenNN::PerformanceFunctional | [virtual] |
USER_PERFORMANCE_TERM enum value (defined in OpenNN::PerformanceFunctional) | OpenNN::PerformanceFunctional | |
write_constraints_term_type(void) const | OpenNN::PerformanceFunctional | |
write_information(void) | OpenNN::PerformanceFunctional | [virtual] |
write_objective_term_type(void) const | OpenNN::PerformanceFunctional | |
write_regularization_term_type(void) const | OpenNN::PerformanceFunctional | |
~PerformanceFunctional(void) | OpenNN::PerformanceFunctional | [virtual] |