Here is a list of all class members with links to the classes they belong to:

- p -

• PAD_TOKEN : opennn::LanguageDataset
• padding_height : opennn::Convolution, opennn::Pool
• padding_width : opennn::Convolution, opennn::Pool
• parameter_specs() : opennn::BatchNorm, opennn::Combination, opennn::Convolution, opennn::EmbeddingLookup, opennn::LayerNorm, opennn::MultiHeadProjection, opennn::Operator
• parameter_views : opennn::NeuralNetwork
• ParameterDifferences : opennn::QuasiNewtonMethod
• parameters : opennn::Layer, opennn::NeuralNetwork
• parameters_bf16 : opennn::NeuralNetwork
• ParameterUpdate : opennn::LevenbergMarquardtAlgorithm, opennn::StochasticGradientDescent
• ParameterUpdates : opennn::QuasiNewtonMethod
• parse() : opennn::Json, opennn::opennn::Json
• per_layer_output_delta_shapes : opennn::BackPropagation
• per_layer_output_deltas : opennn::BackPropagation
• perform_cumulative_gain_analysis() : opennn::TestingAnalysis
• perform_goodness_of_fit_analysis() : opennn::TestingAnalysis
• perform_input_selection() : opennn::GeneticAlgorithm, opennn::GrowingInputs, opennn::InputsSelection, opennn::ModelSelection
• perform_Kolmogorov_Smirnov_analysis() : opennn::TestingAnalysis
• perform_lift_chart_analysis() : opennn::TestingAnalysis
• perform_multiobjective_optimization() : opennn::ResponseOptimization
• perform_neurons_selection() : opennn::GrowingNeurons, opennn::ModelSelection, opennn::NeuronSelection
• perform_response_optimization() : opennn::ResponseOptimization
• perform_roc_analysis() : opennn::TestingAnalysis
• perform_single_objective_optimization() : opennn::ResponseOptimization
• Pool() : opennn::Pool
• pool_height : opennn::Pool
• pool_width : opennn::Pool
• Pooling() : opennn::Pooling
• Pooling3d() : opennn::Pooling3d
• pop() : opennn::ThreadSafeQueue< T >
• port : opennn::BackwardEdge
• positional_encoding : opennn::EmbeddingLookup
• positive_cumulative_gain : opennn::TestingAnalysis::KolmogorovSmirnovResults
• positive_words : opennn::Dataset
• positives_weight : opennn::Loss
• potential_parameters : opennn::OptimizerData
• prefetch_batch() : opennn::Optimizer
• preview_data_from_JSON() : opennn::Dataset
• preview_data_to_JSON() : opennn::Dataset
• print() : opennn::BackPropagation, opennn::Batch, opennn::Correlation, opennn::Descriptives, opennn::ForwardPropagation, opennn::InputsSelection, opennn::InputsSelectionResults, opennn::Layer, opennn::Loss, opennn::NeuronSelection, opennn::NeuronsSelectionResults, opennn::opennn::ForwardPropagation, opennn::Optimizer, opennn::OptimizerData, opennn::profiler::Stats, opennn::TestingAnalysis::GoodnessOfFitAnalysis, opennn::TestingAnalysis::RocAnalysis, opennn::TrainingResults, opennn::Unscaling
• print_binary_classification_tests() : opennn::TestingAnalysis
• print_error_data_descriptives() : opennn::TestingAnalysis
• print_goodness_of_fit_analysis() : opennn::TestingAnalysis
• print_linear_correlations() : opennn::TestingAnalysis
• ProgrammingLanguage : opennn::ModelExpression
• push() : opennn::ThreadSafeQueue< T >
• push_back() : opennn::Json, opennn::opennn::Json, opennn::opennn::Shape, opennn::Shape