- p -

• P() : PSpectrumStringKernel , SVDPlusPlusPolicy , BiasSVDPolicy
• Padding() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType >
• PadHBottom() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• PadHTop() : Padding< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• PadWLeft() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• PadWRight() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• Parameters() : RegressionDistribution , LayerNorm< InputDataType, OutputDataType > , IO , Linear< InputDataType, OutputDataType, RegularizerType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , Linear3D< InputDataType, OutputDataType, RegularizerType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Lookup< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LSTM< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , Add< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Add< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , PReLU< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Recurrent< InputDataType, OutputDataType, CustomLayers > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , RBM< InitializationRuleType, DataType, PolicyType > , Concatenate< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Concatenate< InputDataType, OutputDataType > , LinearRegression , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , LinearSVM< MatType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , LogisticRegression< MatType > , DropConnect< InputDataType, OutputDataType > , CategoricalDQN< OutputLayerType, InitType, NetworkType > , DropConnect< InputDataType, OutputDataType > , DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType > , FastLSTM< InputDataType, OutputDataType > , SimpleDQN< OutputLayerType, InitType, NetworkType > , FastLSTM< InputDataType, OutputDataType > , SoftmaxRegression , FlexibleReLU< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers >
• ParametersSetVisitor() : ParametersSetVisitor
• ParametersVisitor() : ParametersVisitor
• Parent() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CosineTree , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ParentDistance() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• ParentOf() : PathCacher
• PartialGradient() : LogisticRegressionFunction< MatType > , SoftmaxRegressionFunction
• Partitioner() : KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• PathCacher() : PathCacher
• PathFor() : PathCacher
• PCA() : PCA< DecompositionPolicy >
• PCAWhitening() : PCAWhitening
• PearsonSearch() : PearsonSearch
• PellegMooreKMeans() : PellegMooreKMeans< MetricType, MatType >
• PellegMooreKMeansRules() : PellegMooreKMeansRules< MetricType, TreeType >
• PellegMooreKMeansStatistic() : PellegMooreKMeansStatistic
• Pendulum() : Pendulum
• Percentage() : RefinedStart
• Perceptron() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• PerformAction() : HMMModel
• PerformSplit() : VantagePointSplit< BoundType, MatType, MaxNumSamples > , MeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , RPTreeMeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples > , RPTreeMaxSplit< BoundType, MatType >
• Phase() : RBM< InitializationRuleType, DataType, PolicyType >
• PickLeafSplit() : RStarTreeSplit
• Point() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• PoissonNLLLoss() : PoissonNLLLoss< InputDataType, OutputDataType >
• Policy() : DatasetMapper< PolicyType, InputType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , DatasetMapper< PolicyType, InputType >
• PolynomialKernel() : PolynomialKernel
• Pooling() : MaxPoolingRule , MeanPoolingRule
• PoolSize() : RBM< InitializationRuleType, DataType, PolicyType >
• Position() : ContinuousDoublePoleCart::State , ContinuousMountainCar::State , CartPole::State , ContinuousDoublePoleCart::State , DoublePoleCart::State , MountainCar::State , ContinuousMountainCar::State
• PositionalEncoding() : PositionalEncoding< InputDataType, OutputDataType >
• PreCalulated() : Constraints< MetricType >
• Precisions() : BLEU< ElemType, PrecisionType >
• Predict() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , HMM< Distribution > , SimpleDQN< OutputLayerType, InitType, NetworkType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , RegressionDistribution , CFType< DecompositionPolicy, NormalizationType > , BayesianLinearRegression , RegressionDistribution , BayesianLinearRegression , CFModel , CategoricalDQN< OutputLayerType, InitType, NetworkType > , DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType > , CFType< DecompositionPolicy, NormalizationType > , HMMRegression , LARS , LinearRegression , GAN< Model, InitializationRuleType, Noise, PolicyType >
• Predictors() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LogisticRegressionFunction< MatType >
• PredictVisitor() : PredictVisitor< NeighborSearchPolicy, InterpolationPolicy >
• PrefixedOutStream() : PrefixedOutStream
• PReLU() : PReLU< InputDataType, OutputDataType >
• PreprocessToken() : TfIdfEncodingPolicy , BagOfWordsEncodingPolicy , DictionaryEncodingPolicy
• PrintTimer() : Timers
• PrioritizedReplay() : PrioritizedReplay< EnvironmentType >
• Probabilities() : NaiveBayesClassifier< ModelMatType > , DiscreteDistribution
• Probability() : GaussianDistribution , LaplaceDistribution , DiscreteDistribution , GaussianDistribution , BernoulliDistribution< DataType > , GammaDistribution , GMM , DiagonalGaussianDistribution , BernoulliDistribution< DataType > , DiagonalGaussianDistribution , GMM , GammaDistribution , DiscreteDistribution , RegressionDistribution , NormalDistribution< DataType > , LaplaceDistribution , DiagonalGMM , NormalDistribution< DataType > , DiagonalGMM
• ProbBackward() : NormalDistribution< DataType >
• ProgramName() : ProgramName , IO
• ProgramNameWrapper() : ProgramNameWrapper
• Project() : ProjVector , AxisParallelProjVector , HyperplaneBase< BoundT, ProjVectorT >
• ProjectDictionary() : SparseCoding
• Projections() : LSHSearch< SortPolicy, MatType >
• ProjVector() : ProjVector
• PruneAndUpdate() : DTree< MatType, TagType >
• Pruned() : DualTreeKMeansStatistic
• PSpectrumStringKernel() : PSpectrumStringKernel
• PyOption() : PyOption< T >