Here is a list of all class members with links to the classes they belong to:
- e -
- EdgePair()
: EdgePair
- Edges()
: LovaszThetaSDP
- EffectiveError()
: NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
- EigenvalueRatioConstraint()
: EigenvalueRatioConstraint
- ElemType
: BallBound< MetricType, VecType >
, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
, HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >
, Octree< MetricType, StatisticType, MatType >
, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
, RPlusPlusTreeAuxiliaryInformation< TreeType >
, RPTreeMaxSplit< BoundType, MatType >
, RPTreeMeanSplit< BoundType, MatType >
, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
, VantagePointSplit< BoundType, MatType, MaxNumSamples >
- ElkanKMeans()
: ElkanKMeans< MetricType, MatType >
- EMFit()
: EMFit< InitialClusteringType, CovarianceConstraintPolicy >
- Emission()
: HMM< Distribution >
- emission
: HMM< Distribution >
- EmptyCluster()
: AllowEmptyClusters
, KillEmptyClusters
, MaxVarianceNewCluster
- EmptyClusterAction()
: KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- EmptyStatistic()
: EmptyStatistic
- Encode()
: LocalCoordinateCoding
, SparseCoding
- End()
: DTree
- EPANECHNIKOV_KERNEL
: FastMKSModel
- EpanechnikovKernel()
: EpanechnikovKernel
- Epsilon()
: NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
- epsilon
: NeighborSearchRules< SortPolicy, MetricType, TreeType >
- Epsilon()
: NSModel< SortPolicy >
, AdaDelta< DecomposableFunctionType >
, Adam< DecomposableFunctionType >
, RMSprop< DecomposableFunctionType >
, QUICSVDPolicy
, RandomizedSVD
- Err()
: RegressionDistribution
- Estimate()
: LaplaceDistribution
, EMFit< InitialClusteringType, CovarianceConstraintPolicy >
, HMM< Distribution >
, HMMRegression
- EstimateRadius()
: MeanShift< UseKernel, KernelType, MatType >
- Evaluate()
: CosineDistance
, EpanechnikovKernel
, ExampleKernel
, GaussianKernel
, HyperbolicTangentKernel
, LaplacianKernel
, LinearKernel
, PolynomialKernel
, PSpectrumStringKernel
, SphericalKernel
, TriangularKernel
, IPMetric< KernelType >
, LMetric< TPower, TTakeRoot >
, MahalanobisDistance< TakeRoot >
, SoftmaxErrorFunction< MetricType >
, SparseAutoencoderFunction
, AugLagrangianFunction< LagrangianFunction >
, AugLagrangianTestFunction
, GockenbachFunction
, LovaszThetaSDP
, LRSDPFunction< SDPType >
, GDTestFunction
, GeneralizedRosenbrockFunction
, RosenbrockFunction
, RosenbrockWoodFunction
, SGDTestFunction
, WoodFunction
, LogisticRegressionFunction< MatType >
, SoftmaxRegressionFunction
, RegularizedSVDFunction
, GiniGain
, GiniImpurity
, InformationGain
- EvaluateConstraint()
: AugLagrangianTestFunction
, GockenbachFunction
, LovaszThetaSDP
, LRSDPFunction< SDPType >
- EvaluateFitnessFunction()
: BinaryNumericSplit< FitnessFunction, ObservationType >
, HoeffdingCategoricalSplit< FitnessFunction >
, HoeffdingNumericSplit< FitnessFunction, ObservationType >
- ExactClone()
: RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- ExampleKernel()
: ExampleKernel
- ExampleTree()
: ExampleTree< MetricType, StatisticType, MatType >
- ExponentialSchedule()
: ExponentialSchedule
- ExtractSVD()
: QUIC_SVD