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

- p -

• parameters : OpenNN::IndependentParameters
• parameters_assays_number : OpenNN::ModelSelection
• parameters_data : OpenNN::ModelSelection::ModelSelectionResults
• parameters_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults
• parameters_norm_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults
• parse() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• Perceptron() : OpenNN::Perceptron
• PerceptronLayer() : OpenNN::PerceptronLayer
• perceptrons : OpenNN::PerceptronLayer
• perform_exhaustive_inputs_selection() : OpenNN::ModelSelection
• perform_fitness_assignment() : OpenNN::EvolutionaryAlgorithm
• perform_Householder_QR_decomposition() : OpenNN::LevenbergMarquardtAlgorithm
• perform_inputs_selection() : OpenNN::ModelSelection
• perform_intermediate_recombination() : OpenNN::EvolutionaryAlgorithm
• perform_line_recombination() : OpenNN::EvolutionaryAlgorithm
• perform_linear_ranking_fitness_assignment() : OpenNN::EvolutionaryAlgorithm
• perform_linear_regression_analysis() : OpenNN::TestingAnalysis
• perform_maximum_linear_correlation_inputs_selection() : OpenNN::ModelSelection
• perform_maximum_logistic_correlation_inputs_selection() : OpenNN::ModelSelection
• perform_model_selection() : OpenNN::ModelSelection
• perform_mutation() : OpenNN::EvolutionaryAlgorithm
• perform_normal_mutation() : OpenNN::EvolutionaryAlgorithm
• perform_order_selection() : OpenNN::ModelSelection
• perform_recombination() : OpenNN::EvolutionaryAlgorithm
• perform_roulette_wheel_selection() : OpenNN::EvolutionaryAlgorithm
• perform_selection() : OpenNN::EvolutionaryAlgorithm
• perform_training() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingAlgorithm , OpenNN::TrainingStrategy
• perform_uniform_mutation() : OpenNN::EvolutionaryAlgorithm
• performance : OpenNN::EvolutionaryAlgorithm , OpenNN::PerformanceFunctional::FirstOrderperformance , OpenNN::PerformanceFunctional::SecondOrderperformance , OpenNN::PerformanceFunctional::ZeroOrderperformance , OpenNN::PerformanceTerm::FirstOrderPerformance , OpenNN::PerformanceTerm::SecondOrderPerformance , OpenNN::PerformanceTerm::ZerothOrderPerformance
• performance_data : OpenNN::ModelSelection::ModelSelectionResults
• performance_data_statistics : OpenNN::ModelSelection::ModelSelectionResults
• performance_functional_pointer : OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy
• performance_goal : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• performance_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults
• PerformanceFunctional() : OpenNN::PerformanceFunctional
• PerformanceTerm() : OpenNN::PerformanceTerm
• perturbate_parameters() : OpenNN::MultilayerPerceptron
• PlugIn() : OpenNN::PlugIn
• points_number : OpenNN::OrdinaryDifferentialEquations
• population : OpenNN::EvolutionaryAlgorithm
• population_history : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• position : OpenNN::LogisticRegressionParameters< T >
• precision_digits : OpenNN::NumericalDifferentiation
• prepend() : OpenNN::DataSet , OpenNN::Variables
• print() : OpenNN::DataSet , OpenNN::Instances , OpenNN::MathematicalModel , OpenNN::Matrix< T > , OpenNN::MissingValues , OpenNN::ModelSelection , OpenNN::NeuralNetwork , OpenNN::PerformanceFunctional , OpenNN::SolutionsError , OpenNN::TestingAnalysis , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm::Triplet , OpenNN::TrainingStrategy
• print_data() : OpenNN::DataSet
• print_data_preview() : OpenNN::DataSet
• print_preview() : OpenNN::Matrix< T >
• print_summary() : OpenNN::DataSet
• probabilistic_layer_pointer : OpenNN::NeuralNetwork
• probabilistic_method : OpenNN::ProbabilisticLayer
• probabilistic_neurons_number : OpenNN::ProbabilisticLayer
• ProbabilisticLayer() : OpenNN::ProbabilisticLayer
• ProbabilisticMethod : OpenNN::ProbabilisticLayer
• prune_bounding_neuron() : OpenNN::BoundingLayer
• prune_input() : OpenNN::Inputs , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Perceptron , OpenNN::PerceptronLayer
• prune_layer() : OpenNN::MultilayerPerceptron
• prune_output() : OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Outputs
• prune_perceptron() : OpenNN::PerceptronLayer
• prune_probabilistic_neuron() : OpenNN::ProbabilisticLayer
• prune_scaling_neuron() : OpenNN::ScalingLayer
• prune_unscaling_neuron() : OpenNN::UnscalingLayer