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

- p -

• P() : BiasSVDPolicy , SVDPlusPlusPolicy , PSpectrumStringKernel
• Padding() : Padding< InputDataType, OutputDataType >
• Parameters() : Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Concatenate< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , GRU< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , LayerNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , Lookup< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , PReLU< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Sequential< InputDataType, OutputDataType, Residual, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , CLI , RegressionDistribution , LinearRegression , LogisticRegression< MatType > , SoftmaxRegression , LinearSVM< 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 >
• path : PathCacher
• pathCache : PathCacher
• PathCacher() : PathCacher
• PathCacheType : PathCacher
• PathFor() : PathCacher
• PathFormat : PathCacher
• PathType : PathCacher
• PCA() : PCA< DecompositionPolicy >
• PCA_WHITENING : ScalingModel
• PCAWhitening() : PCAWhitening
• PearsonSearch() : PearsonSearch
• PellegMooreKMeans() : PellegMooreKMeans< MetricType, MatType >
• PellegMooreKMeansRules() : PellegMooreKMeansRules< MetricType, TreeType >
• PellegMooreKMeansStatistic() : PellegMooreKMeansStatistic
• Pendulum() : Pendulum
• Percentage() : RefinedStart
• PERCEPTRON : AdaBoostModel
• Perceptron() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• PerformAction() : HMMModel
• PerformSplit() : MeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , RPTreeMeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >
• persistent : ParamData
• 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 >
• Policy() : DatasetMapper< PolicyType, InputType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• POLYNOMIAL_KERNEL : FastMKSModel
• PolynomialKernel() : PolynomialKernel
• Pooling() : MaxPoolingRule , MeanPoolingRule
• PoolSize() : RBM< InitializationRuleType, DataType, PolicyType >
• Position() : CartPole::State , ContinuousDoublePoleCart::State , ContinuousMountainCar::State , DoublePoleCart::State , MountainCar::State
• positiveTorque : Acrobot
• Power : LRegularizer< TPower > , LMetric< TPower, TTakeRoot >
• PreCalulated() : Constraints< MetricType >
• Predict() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , CFModel , CFType< DecompositionPolicy, NormalizationType > , RegressionDistribution , HMM< Distribution > , HMMRegression , LARS , LinearRegression
• PredictionsType : MetaInfoExtractor< MLAlgorithm, MT, PT, WT > , NotFoundMethodForm , TrainFormBase4< PT, WT, T1, T2 > , TrainFormBase5< PT, WT, T1, T2, T3 > , TrainFormBase6< PT, WT, T1, T2, T3, T4 > , TrainFormBase7< PT, WT, T1, T2, T3, T4, T5 >
• Predictors() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LogisticRegressionFunction< MatType >
• PredictVisitor() : PredictVisitor< NeighborSearchPolicy, InterpolationPolicy >
• PrefixedOutStream() : PrefixedOutStream
• PReLU() : PReLU< InputDataType, OutputDataType >
• PrintTimer() : Timers
• PrioritizedReplay() : PrioritizedReplay< EnvironmentType >
• Probabilities() : DiscreteDistribution , NaiveBayesClassifier< ModelMatType >
• Probability() : BernoulliDistribution< DataType > , DiagonalGaussianDistribution , DiscreteDistribution , GammaDistribution , GaussianDistribution , LaplaceDistribution , RegressionDistribution , DiagonalGMM , GMM
• ProgramDoc() : ProgramDoc
• ProgramDocWrapper() : ProgramDocWrapper
• programName : ProgramDoc
• ProgramName() : CLI
• programName : CLI , ProgramDoc
• Project() : AxisParallelProjVector , HyperplaneBase< BoundT, ProjVectorT > , ProjVector
• ProjectDictionary() : SparseCoding
• Projections() : LSHSearch< SortPolicy >
• ProjVector() : ProjVector
• ProjVectorType : HyperplaneBase< BoundT, ProjVectorT >
• PruneAndUpdate() : DTree< MatType, TagType >
• Pruned() : DualTreeKMeansStatistic
• PSpectrumStringKernel() : PSpectrumStringKernel
• PyOption() : PyOption< T >