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

- p -

• PAD_TOKEN : opennn::LanguageDataset
• padding_height : opennn::ConvolutionOp, opennn::PoolOp
• padding_width : opennn::ConvolutionOp, opennn::PoolOp
• parameter_specs() : opennn::BatchNormOp, opennn::CombinationOp, opennn::CombinationReluOp, opennn::ConvolutionOp, opennn::ConvolutionReluOp, opennn::EmbeddingLookupOp, opennn::LayerNormOp, opennn::MultiHeadProjectionOp, opennn::Operator
• ParameterDifferences : opennn::QuasiNewtonMethod
• parameters : opennn::Layer, opennn::NeuralNetwork
• parameters_bf16 : opennn::NeuralNetwork
• ParameterUpdate : opennn::LevenbergMarquardtAlgorithm
• ParameterUpdates : opennn::QuasiNewtonMethod
• parse() : opennn::Json
• 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_height : opennn::PoolOp
• pool_width : opennn::PoolOp
• Pooling() : opennn::Pooling
• Pooling3d() : opennn::Pooling3d
• PoolOp() : opennn::PoolOp
• pop() : opennn::ThreadSafeQueue< T >
• positional_encoding : opennn::EmbeddingLookupOp
• positive_cumulative_gain : opennn::TestingAnalysis::KolmogorovSmirnovResults
• positive_words : opennn::Dataset
• positives_weight : opennn::Loss
• potential_parameters : opennn::OptimizerData
• prefetch_batch() : opennn::Optimizer
• prefetch_fp32_staging : 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::Optimizer, opennn::OptimizerData, opennn::Stats, opennn::TestingAnalysis::GoodnessOfFitAnalysis, opennn::TestingAnalysis::RocAnalysis, opennn::TrainingResults
• 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::Shape