Here is a list of all class members with links to the classes they belong to:
- p -
- P()
: PSpectrumStringKernel
- Parameters()
: RegressionDistribution
, LinearRegression
, LogisticRegression< MatType >
, SoftmaxRegression< OptimizerType >
- 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 >
- ParseCommandLine()
: CLI
- Partitioner()
: KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- PCAType()
: PCAType< DecompositionPolicy >
- PellegMooreKMeans()
: PellegMooreKMeans< MetricType, MatType >
- PellegMooreKMeansRules()
: PellegMooreKMeansRules< MetricType, TreeType >
- PellegMooreKMeansStatistic()
: PellegMooreKMeansStatistic
- Percentage()
: RefinedStart
- Perceptron()
: Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
- PerformSplit()
: MeanSplit< BoundType, MatType >
, MidpointSplit< BoundType, MatType >
, RPTreeMaxSplit< BoundType, MatType >
, RPTreeMeanSplit< BoundType, MatType >
, VantagePointSplit< BoundType, MatType, MaxNumSamples >
- 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 >
- POLYNOMIAL_KERNEL
: FastMKSModel
- PolynomialKernel()
: PolynomialKernel
- Power
: LMetric< TPower, TTakeRoot >
- Predict()
: CF
, RegressionDistribution
, HMM< Distribution >
, HMMRegression
, LARS
, LinearRegression
, LogisticRegression< MatType >
, SoftmaxRegression< OptimizerType >
- Predictors()
: LogisticRegressionFunction< MatType >
- PrefixedOutStream()
: PrefixedOutStream
- PrimalDualSolver()
: PrimalDualSolver< SDPType >
- PrimalInfeasTol()
: PrimalDualSolver< SDPType >
- Print()
: CLI
- PrintHelp()
: CLI
- PrintOutput()
: CLI
- PrintTimer()
: Timers
- Probabilities()
: DiscreteDistribution
, NaiveBayesClassifier< MatType >
- Probability()
: DiscreteDistribution
, GammaDistribution
, GaussianDistribution
, LaplaceDistribution
, RegressionDistribution
, GMM
- ProgramDoc()
: ProgramDoc
- programName
: ProgramDoc
- Project()
: AxisParallelProjVector
, HyperplaneBase< BoundT, ProjVectorT >
, ProjVector
- ProjectDictionary()
: SparseCoding
- Projections()
: LSHSearch< SortPolicy >
- ProjVector()
: ProjVector
- ProjVectorType
: HyperplaneBase< BoundT, ProjVectorT >
- PruneAndUpdate()
: DTree
- Pruned()
: DualTreeKMeansStatistic
- PSpectrumStringKernel()
: PSpectrumStringKernel