- p -

• P() : PSpectrumStringKernel , SVDPlusPlusPolicy , BiasSVDPolicy
• Parameters() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , LogisticRegression< MatType > , SoftmaxRegression , LayerNorm< InputDataType, OutputDataType > , SoftmaxRegression , BatchNorm< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , LinearNoBias< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , RegressionDistribution , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Add< InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , PReLU< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , CLI , Add< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , AddMerge< InputDataType, OutputDataType, CustomLayers > , DropConnect< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , AddMerge< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LinearRegression , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , LinearRegression , LinearSVM< MatType > , GRU< InputDataType, OutputDataType > , LinearSVM< MatType > , LogisticRegression< MatType >
• ParametersSetVisitor() : ParametersSetVisitor
• ParametersVisitor() : ParametersVisitor
• Parent() : 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 > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• 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 >
• PearsonSearch() : PearsonSearch
• PellegMooreKMeans() : PellegMooreKMeans< MetricType, MatType >
• PellegMooreKMeansRules() : PellegMooreKMeansRules< MetricType, TreeType >
• PellegMooreKMeansStatistic() : PellegMooreKMeansStatistic
• Pendulum() : Pendulum
• Percentage() : RefinedStart
• Perceptron() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• PerformAction() : HMMModel
• PerformSplit() : RPTreeMeanSplit< BoundType, MatType > , MeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , RPTreeMeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >
• Phase() : RBM< InitializationRuleType, DataType, PolicyType >
• PickLeafSplit() : RStarTreeSplit
• Point() : 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 > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• Policy() : DatasetMapper< PolicyType, InputType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , DatasetMapper< PolicyType, InputType >
• PolynomialKernel() : PolynomialKernel
• Pooling() : MeanPoolingRule , MaxPoolingRule
• PoolSize() : RBM< InitializationRuleType, DataType, PolicyType >
• Position() : MountainCar::State , CartPole::State , ContinuousMountainCar::State , MountainCar::State , CartPole::State
• PreCalulated() : Constraints< MetricType >
• Predict() : CFModel , RegressionDistribution , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RegressionDistribution , CFType< DecompositionPolicy, NormalizationType > , HMMRegression , LARS , LinearRegression , CFType< DecompositionPolicy, NormalizationType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , HMM< Distribution > , RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• Predictors() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LogisticRegressionFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• PredictVisitor() : PredictVisitor< NeighborSearchPolicy, InterpolationPolicy >
• PrefixedOutStream() : PrefixedOutStream
• PReLU() : PReLU< InputDataType, OutputDataType >
• PrintTimer() : Timers
• Probabilities() : NaiveBayesClassifier< ModelMatType > , DiscreteDistribution
• Probability() : BernoulliDistribution< DataType > , GammaDistribution , BernoulliDistribution< DataType > , GammaDistribution , GMM , LaplaceDistribution , GaussianDistribution , RegressionDistribution , BernoulliDistribution< DataType > , GaussianDistribution , DiagonalGMM , DiscreteDistribution , DiagonalGMM , LaplaceDistribution , DiagonalGaussianDistribution , DiscreteDistribution , GMM , DiagonalGaussianDistribution
• ProgramDoc() : ProgramDoc
• ProgramDocWrapper() : ProgramDocWrapper
• ProgramName() : CLI
• Project() : ProjVector , AxisParallelProjVector , HyperplaneBase< BoundT, ProjVectorT >
• ProjectDictionary() : SparseCoding
• Projections() : LSHSearch< SortPolicy >
• ProjVector() : ProjVector
• PruneAndUpdate() : DTree< MatType, TagType >
• Pruned() : DualTreeKMeansStatistic
• PSpectrumStringKernel() : PSpectrumStringKernel
• PyOption() : PyOption< T >