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

- e -

• EasomFunction() : EasomFunction
• EdgePair() : EdgePair
• Edges() : LovaszThetaSDP
• EffectiveError() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• EggholderFunction() : EggholderFunction
• EigenvalueRatioConstraint() : EigenvalueRatioConstraint
• ElemType : BallBound< MetricType, VecType > , RPlusPlusTreeAuxiliaryInformation< TreeType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , FastLSTM< InputDataType, OutputDataType > , RPTreeMaxSplit< BoundType, MatType > , DTree< MatType, TagType > , NaiveBayesClassifier< ModelMatType > , RPTreeMeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >
• ElkanKMeans() : ElkanKMeans< MetricType, MatType >
• ELU() : ELU< InputDataType, OutputDataType >
• EMFit() : EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• emission : HMM< Distribution >
• Emission() : HMM< Distribution >
• EmptyCluster() : AllowEmptyClusters , KillEmptyClusters , MaxVarianceNewCluster
• EmptyClusterAction() : KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• EmptyStatistic() : EmptyStatistic
• Enabled() : Timers
• EnableTiming() : Timer
• Encode() : LocalCoordinateCoding , Acrobat::State , CartPole::State , ContinuousMountainCar::State , MountainCar::State , Pendulum::State , SparseCoding
• End() : AllDimensionSelect , MultipleRandomDimensionSelect< NumDimensions > , RandomDimensionSelect , DTree< MatType, TagType >
• Enter() : PathCacher
• Environment() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• EPANECHNIKOV_KERNEL : FastMKSModel
• EpanechnikovKernel() : EpanechnikovKernel
• Episode() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• EpochBatches() : CyclicalDecay , SnapshotEnsembles
• Eps() : CrossEntropyError< InputDataType, OutputDataType >
• Epsilon() : AdaDeltaUpdate , AdaGrad , AdaGradUpdate , AdamType< UpdateRule > , AdamUpdate , AdaMaxUpdate , AMSGradUpdate , NadamUpdate , NadaMaxUpdate , OptimisticAdamUpdate , BukinFunction , RMSProp , RMSPropUpdate , SMORMS3 , SMORMS3Update , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy > , QUICSVDPolicy , RandomizedSVD , GreedyPolicy< EnvironmentType >
• epsilon : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Epsilon() : AdaDelta
• Err() : RegressionDistribution
• Estimate() : LaplaceDistribution , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , HMM< Distribution > , HMMRegression
• EstimateRadius() : MeanShift< UseKernel, KernelType, MatType >
• Evaluate() : BukinFunction , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , RosenbrockFunction , LRSDPFunction< SDPType > , GaussianKernel , AddDecomposableEvaluateConst< FunctionType, true, false > , AddDecomposableEvaluateConst< FunctionType, HasDecomposableEvaluateWithGradient, true > , AddDecomposableEvaluateConst< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , HyperbolicTangentKernel , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, true > , LaplacianKernel , LinearKernel , AugLagrangianTestFunction , AugLagrangianFunction< LagrangianFunction > , MahalanobisDistance< TakeRoot > , PolynomialKernel , IPMetric< KernelType > , PSpectrumStringKernel , SphericalKernel , StyblinskiTangFunction , SphericalKernel , TriangularKernel , StyblinskiTangFunction , LMetric< TPower, TTakeRoot > , WoodFunction , SGDTestFunction , GockenbachFunction , GaussianKernel , LovaszThetaSDP , EpanechnikovKernel , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , CosineDistance , SGDTestFunction , AddDecomposableEvaluate< FunctionType, true, false > , SphereFunction , Precision< AS, PositiveClass > , RosenbrockWoodFunction , F1< AS, PositiveClass > , AddDecomposableEvaluateStatic< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , AddDecomposableEvaluateStatic< FunctionType, HasDecomposableEvaluateWithGradient, true > , SoftmaxRegressionFunction , AddDecomposableEvaluateStatic< FunctionType, true, false > , RosenbrockWoodFunction , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, true > , LogisticRegressionFunction< MatType > , InformationGain , TestFuncFW , SchwefelFunction , SoftmaxErrorFunction< MetricType > , ColvilleFunction , BoothFunction , SphereFunction , RegularizedSVDFunction< MatType > , RastriginFunction , GiniImpurity , RosenbrockFunction , AugLagrangianFunction< LagrangianFunction > , AddDecomposableEvaluateWithGradient< FunctionType, false, true, true > , EasomFunction , GeneralizedRosenbrockFunction , SparseAutoencoderFunction , AddEvaluate< FunctionType, HasEvaluateWithGradient, HasEvaluate > , GeneralizedRosenbrockFunction , ColvilleFunction , AugLagrangianFunction< LagrangianFunction > , AddEvaluate< FunctionType, HasEvaluateWithGradient, true > , McCormickFunction , GDTestFunction , FuncSq , AddEvaluateStatic< FunctionType, true, false > , AddEvaluateConst< FunctionType, HasEvaluateWithGradient, HasEvaluate > , AddEvaluateConst< FunctionType, HasEvaluateWithGradient, true > , SoftmaxRegressionFunction , MatyasFunction , AddEvaluateStatic< FunctionType, HasEvaluateWithGradient, true > , MatyasFunction , EggholderFunction , BoothFunction , BukinFunction , EggholderFunction , DropWaveFunction , EasomFunction , DropWaveFunction , AddDecomposableEvaluate< FunctionType, true, false > , SoftmaxErrorFunction< MetricType > , McCormickFunction , RastriginFunction , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , SparseTestFunction , SchwefelFunction , ExampleKernel , EpanechnikovKernel , CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , MSE , Accuracy , SparseSVMFunction , RegularizedSVDFunction< MatType > , LogisticRegressionFunction< MatType > , AddEvaluateConst< FunctionType, true, false > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , SparseTestFunction , AddEvaluateStatic< FunctionType, HasEvaluateWithGradient, HasEvaluate > , InformationGain , WoodFunction , AddEvaluate< FunctionType, true, false > , AddDecomposableEvaluateConst< FunctionType, true, false > , AddDecomposableEvaluateStatic< FunctionType, true, false > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , GiniGain , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Recall< AS, PositiveClass > , FFN< OutputLayerType, InitializationRuleType, CustomLayers >
• EvaluateConstraint() : LovaszThetaSDP , LRSDPFunction< SDPType > , AugLagrangianTestFunction , GockenbachFunction
• EvaluateFitnessFunction() : BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType >
• EvaluateWithGradient() : AddDecomposableEvaluateWithGradient< FunctionType, HasDecomposableEvaluateGradient, true > , LogisticRegressionFunction< MatType > , AddDecomposableEvaluateWithGradientStatic< FunctionType, true, false > , AddDecomposableEvaluateWithGradient< FunctionType, true, true, false > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , AddEvaluateWithGradient< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , AddEvaluateWithGradient< FunctionType, true, false > , AddDecomposableEvaluateWithGradientStatic< FunctionType, HasDecomposableEvaluateGradient, true > , AddDecomposableEvaluateWithGradientConst< FunctionType, true, false > , AddDecomposableEvaluateWithGradientConst< FunctionType, HasDecomposableEvaluateGradient, true > , AddDecomposableEvaluateWithGradient< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient > , AddEvaluateWithGradientConst< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradient< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradientStatic< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , AddEvaluateWithGradientStatic< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradientConst< FunctionType, true, false > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , AddEvaluateWithGradientConst< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , AddEvaluateWithGradientStatic< FunctionType, true, false > , AddDecomposableEvaluateWithGradient< FunctionType, true, false > , AddDecomposableEvaluateWithGradientStatic< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient > , LogisticRegressionFunction< MatType > , AddDecomposableEvaluateWithGradientConst< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient >
• ExactClone() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ExampleKernel() : ExampleKernel
• ExampleTree() : ExampleTree< MetricType, StatisticType, MatType >
• ExplorationSteps() : TrainingConfig
• ExponentialBackoff() : ExponentialBackoff
• ExponentialSchedule() : ExponentialSchedule
• ExtractSVD() : QUIC_SVD