TrainingStrategy Member List

This is the complete list of members for TrainingStrategy, including all inherited members.

adaptive_moment_estimationTrainingStrategyprivate
conjugate_gradientTrainingStrategyprivate
cross_entropy_errorTrainingStrategyprivate
data_set_pointer (defined in TrainingStrategy)TrainingStrategyprivate
displayTrainingStrategyprivate
fix_forecasting()TrainingStrategy
from_XML(const tinyxml2::XMLDocument &)TrainingStrategy
get_adaptive_moment_estimation_pointer()TrainingStrategy
get_conjugate_gradient_pointer()TrainingStrategy
get_cross_entropy_error_pointer()TrainingStrategy
get_data_set_pointer()TrainingStrategy
get_display() constTrainingStrategy
get_gradient_descent_pointer()TrainingStrategy
get_Levenberg_Marquardt_algorithm_pointer()TrainingStrategy
get_loss_index_pointer()TrainingStrategy
get_loss_method() constTrainingStrategy
get_mean_squared_error_pointer()TrainingStrategy
get_Minkowski_error_pointer()TrainingStrategy
get_neural_network_pointer() constTrainingStrategy
get_normalized_squared_error_pointer()TrainingStrategy
get_optimization_algorithm_pointer()TrainingStrategy
get_optimization_method() constTrainingStrategy
get_quasi_Newton_method_pointer()TrainingStrategy
get_stochastic_gradient_descent_pointer()TrainingStrategy
get_sum_squared_error_pointer()TrainingStrategy
get_weighted_squared_error_pointer()TrainingStrategy
gradient_descentTrainingStrategyprivate
has_data_set() const (defined in TrainingStrategy)TrainingStrategy
has_neural_network() const (defined in TrainingStrategy)TrainingStrategy
Levenberg_Marquardt_algorithmTrainingStrategyprivate
load(const string &)TrainingStrategy
loss_methodTrainingStrategyprivate
LossMethod enum nameTrainingStrategy
mean_squared_errorTrainingStrategyprivate
Minkowski_errorTrainingStrategyprivate
neural_network_pointer (defined in TrainingStrategy)TrainingStrategyprivate
normalized_squared_errorTrainingStrategyprivate
optimization_methodTrainingStrategyprivate
OptimizationMethod enum nameTrainingStrategy
perform_training()TrainingStrategy
print() constTrainingStrategy
quasi_Newton_methodTrainingStrategyprivate
save(const string &) constTrainingStrategy
set()TrainingStrategy
set(NeuralNetwork *, DataSet *) (defined in TrainingStrategy)TrainingStrategy
set_data_set_pointer(DataSet *) (defined in TrainingStrategy)TrainingStrategy
set_default()TrainingStrategy
set_display(const bool &)TrainingStrategy
set_display_period(const int &) (defined in TrainingStrategy)TrainingStrategy
set_loss_goal(const type &) (defined in TrainingStrategy)TrainingStrategy
set_loss_index_data_set_pointer(DataSet *) (defined in TrainingStrategy)TrainingStrategy
set_loss_index_neural_network_pointer(NeuralNetwork *) (defined in TrainingStrategy)TrainingStrategy
set_loss_index_pointer(LossIndex *)TrainingStrategy
set_loss_index_threads_number(const int &) (defined in TrainingStrategy)TrainingStrategy
set_loss_method(const LossMethod &)TrainingStrategy
set_loss_method(const string &)TrainingStrategy
set_maximum_epochs_number(const int &) (defined in TrainingStrategy)TrainingStrategy
set_maximum_selection_failures(const Index &) (defined in TrainingStrategy)TrainingStrategy
set_maximum_time(const type &) (defined in TrainingStrategy)TrainingStrategy
set_neural_network_pointer(NeuralNetwork *) (defined in TrainingStrategy)TrainingStrategy
set_optimization_algorithm_threads_number(const int &) (defined in TrainingStrategy)TrainingStrategy
set_optimization_method(const OptimizationMethod &)TrainingStrategy
set_optimization_method(const string &)TrainingStrategy
set_threads_number(const int &) (defined in TrainingStrategy)TrainingStrategy
stochastic_gradient_descentTrainingStrategyprivate
sum_squared_errorTrainingStrategyprivate
TrainingStrategy()TrainingStrategyexplicit
TrainingStrategy(NeuralNetwork *, DataSet *)TrainingStrategyexplicit
weighted_squared_errorTrainingStrategyprivate
write_loss_method() constTrainingStrategy
write_loss_method_text() constTrainingStrategy
write_optimization_method() constTrainingStrategy
write_optimization_method_text() constTrainingStrategy
write_XML(tinyxml2::XMLPrinter &) constTrainingStrategy
~TrainingStrategy()TrainingStrategyvirtual