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

- p -

• P() : PSpectrumStringKernel , ConstrLpBallSolver
• ParallelSGD() : ParallelSGD< DecayPolicyType >
• Parameters() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , LinearNoBias< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , DropConnect< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , RegressionDistribution , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , LinearRegression , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , LogisticRegression< MatType > , GRU< InputDataType, OutputDataType > , SoftmaxRegression , CLI , BatchNorm< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType >
• ParametersSetVisitor() : ParametersSetVisitor
• ParametersVisitor() : ParametersVisitor
• Parent() : ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , 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 >
• 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() : SparseTestFunction , 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 >
• PellegMooreKMeans() : PellegMooreKMeans< MetricType, MatType >
• PellegMooreKMeansRules() : PellegMooreKMeansRules< MetricType, TreeType >
• PellegMooreKMeansStatistic() : PellegMooreKMeansStatistic
• Pendulum() : Pendulum
• Percentage() : RefinedStart
• Perceptron() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• PERCEPTRON : AdaBoostModel
• PerformAction() : HMMModel
• PerformSplit() : MidpointSplit< BoundType, MatType > , MeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , RPTreeMeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >
• persistent : ParamData
• PickLeafSplit() : RStarTreeSplit
• Point() : ExampleTree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Policy() : DatasetMapper< PolicyType, InputType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• POLYNOMIAL_KERNEL : FastMKSModel
• PolynomialKernel() : PolynomialKernel
• Pooling() : MaxPoolingRule , MeanPoolingRule
• PopulationSize() : CNE , CMAES< SelectionPolicyType > , CNE
• Position() : CartPole::State , ContinuousMountainCar::State , MountainCar::State , ContinuousMountainCar::State
• positiveTorque : Acrobat
• Power : LMetric< TPower, TTakeRoot >
• Predict() : CFType , HMM< Distribution > , LARS , CFType , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , HMMRegression , LinearRegression , RegressionDistribution , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RegressionDistribution
• PredictionsType : TrainFormBase< PT, WT, SignatureParams > , NotFoundMethodForm , MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• Predictors() : LogisticRegressionFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers >
• PrefixedOutStream() : PrefixedOutStream
• PReLU() : PReLU< InputDataType, OutputDataType >
• PrimalDualSolver() : PrimalDualSolver< SDPType >
• PrimalInfeasTol() : PrimalDualSolver< SDPType >
• PrintTimer() : Timers
• Probabilities() : NaiveBayesClassifier< ModelMatType > , DiscreteDistribution , NaiveBayesClassifier< ModelMatType > , DiscreteDistribution
• Probability() : GammaDistribution , GaussianDistribution , DiscreteDistribution , GMM , LaplaceDistribution , RegressionDistribution , GMM , GaussianDistribution , GammaDistribution
• ProgramDoc() : ProgramDoc
• ProgramName() : CLI
• programName : ProgramDoc , CLI , ProgramDoc
• Project() : ProjVector , AxisParallelProjVector , HyperplaneBase< BoundT, ProjVectorT > , ProjVector , AxisParallelProjVector
• ProjectDictionary() : SparseCoding
• ProjectedGradientEnhancement() : Atoms
• Projections() : LSHSearch< SortPolicy >
• ProjectToGroup() : GroupLpBall
• ProjectToL0Ball() : Proximal
• ProjectToL1Ball() : Proximal
• ProjVector() : ProjVector
• ProjVectorType : HyperplaneBase< BoundT, ProjVectorT >
• PruneAndUpdate() : DTree< MatType, TagType >
• Pruned() : DualTreeKMeansStatistic
• PruneSupport() : Atoms
• PSpectrumStringKernel() : PSpectrumStringKernel
• PyOption() : PyOption< T >