Here is a list of all documented class members with links to the class documentation for each member:

- r -

• random_search_pointer : OpenNN::RandomSearch::RandomSearchResults , OpenNN::TrainingStrategy
• random_search_results_pointer : OpenNN::TrainingStrategy::Results
• randomize_data_normal() : OpenNN::DataSet
• randomize_data_uniform() : OpenNN::DataSet
• randomize_normal() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• randomize_parameters_normal() : OpenNN::IndependentParameters , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::PerceptronLayer
• randomize_parameters_uniform() : OpenNN::IndependentParameters , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::PerceptronLayer
• randomize_population_normal() : OpenNN::EvolutionaryAlgorithm
• randomize_population_uniform() : OpenNN::EvolutionaryAlgorithm
• randomize_uniform() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• RandomSearch() : OpenNN::RandomSearch
• RandomSearchResults() : OpenNN::RandomSearch::RandomSearchResults
• read_from_data_file() : OpenNN::DataSet
• read_header_line() : OpenNN::DataSet
• read_instance() : OpenNN::DataSet
• read_output_file() : OpenNN::PlugIn
• read_output_file_header() : OpenNN::PlugIn
• recombination_method : OpenNN::EvolutionaryAlgorithm
• recombination_size : OpenNN::EvolutionaryAlgorithm
• RecombinationMethod : OpenNN::EvolutionaryAlgorithm
• refinement_type : OpenNN::TrainingStrategy
• RefinementType : OpenNN::TrainingStrategy
• regularization_type : OpenNN::PerformanceFunctional
• RegularizationType : OpenNN::PerformanceFunctional
• remove_element() : OpenNN::Vector< T >
• remove_value() : OpenNN::Vector< T >
• reserve_best_individual_history : OpenNN::EvolutionaryAlgorithm
• reserve_best_norm_history : OpenNN::EvolutionaryAlgorithm
• reserve_best_performance_history : OpenNN::EvolutionaryAlgorithm
• reserve_damping_parameter_history : OpenNN::LevenbergMarquardtAlgorithm
• reserve_elapsed_time_history : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_generalization_performance_data : OpenNN::ModelSelection
• reserve_generalization_performance_data_statistics : OpenNN::ModelSelection
• reserve_generalization_performance_history : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_gradient_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• reserve_gradient_norm_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• reserve_Hessian_approximation_history : OpenNN::LevenbergMarquardtAlgorithm
• reserve_inverse_Hessian_history : OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• reserve_mean_norm_history : OpenNN::EvolutionaryAlgorithm
• reserve_mean_performance_history : OpenNN::EvolutionaryAlgorithm
• reserve_minimal_parameters : OpenNN::ModelSelection
• reserve_model_order_selection_plot : OpenNN::ModelSelection
• reserve_parameters_data : OpenNN::ModelSelection
• reserve_parameters_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_parameters_norm_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_performance_data : OpenNN::ModelSelection
• reserve_performance_data_statistics : OpenNN::ModelSelection
• reserve_performance_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_population_history : OpenNN::EvolutionaryAlgorithm
• reserve_standard_deviation_norm_history : OpenNN::EvolutionaryAlgorithm
• reserve_standard_deviation_performance_history : OpenNN::EvolutionaryAlgorithm
• reserve_training_direction_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• reserve_training_direction_norm_history : OpenNN::RandomSearch
• reserve_training_rate_history : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• resize_inputs_number() : OpenNN::NeuralNetwork
• resize_outputs_number() : OpenNN::NeuralNetwork
• resize_training_history() : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults
• Results() : OpenNN::TrainingStrategy::Results
• root_mean_squared_error_objective_pointer : OpenNN::PerformanceFunctional
• RootMeanSquaredError() : OpenNN::RootMeanSquaredError
• rows_number : OpenNN::Matrix< T >
• run_script() : OpenNN::PlugIn