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

- e -

• EarthMoverDistance() : EarthMoverDistance< InputDataType, OutputDataType >
• EdgePair() : EdgePair
• EffectiveError() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• EigenvalueRatioConstraint() : EigenvalueRatioConstraint
• ElemType : RPTreeMeanSplit< BoundType, MatType > , FastLSTM< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , VantagePointSplit< BoundType, MatType, MaxNumSamples > , DTree< MatType, TagType > , NaiveBayesClassifier< ModelMatType > , BallBound< MetricType, VecType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , RPlusPlusTreeAuxiliaryInformation< TreeType > , RPTreeMaxSplit< BoundType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• ElkanKMeans() : ElkanKMeans< MetricType, MatType >
• ELU() : ELU< InputDataType, OutputDataType >
• EMFit() : EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >
• 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 , Acrobot::State , CartPole::State , ContinuousMountainCar::State , MountainCar::State , Pendulum::State , SparseCoding
• End() : AllDimensionSelect , MultipleRandomDimensionSelect , RandomDimensionSelect , DTree< MatType, TagType >
• Enter() : PathCacher
• Environment() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , RewardClipping< EnvironmentType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• EPANECHNIKOV_KERNEL : FastMKSModel , KDEModel
• EpanechnikovKernel() : EpanechnikovKernel
• Episode() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• Eps() : CrossEntropyError< InputDataType, OutputDataType >
• Epsilon() : NSModel< SortPolicy > , QUICSVDPolicy , RandomizedSVD , GreedyPolicy< EnvironmentType >
• epsilon : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Epsilon() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• Err() : RegressionDistribution
• Estimate() : LaplaceDistribution , EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution > , HMM< Distribution > , HMMRegression
• EstimateRadius() : MeanShift< UseKernel, KernelType, MatType >
• Evaluate() : MSE , CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , Accuracy , PolynomialKernel , TriangularKernel , LogisticRegressionFunction< MatType > , KDEModel , LinearSVMFunction< MatType > , LMNNFunction< MetricType > , KDEModel , SoftmaxErrorFunction< MetricType > , LogisticRegressionFunction< MatType > , SphericalKernel , SoftmaxRegressionFunction , GaussianKernel , SVDPlusPlusFunction< MatType > , LMNNFunction< MetricType > , CosineDistance , ExampleKernel , EpanechnikovKernel , Recall< AS, PositiveClass > , LMetric< TPower, TTakeRoot > , RegularizedSVDFunction< MatType > , BiasSVDFunction< MatType > , GiniGain , RBM< InitializationRuleType, DataType, PolicyType > , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , SVDPlusPlusFunction< MatType > , SparseAutoencoderFunction , TriangularKernel , PSpectrumStringKernel , LinearKernel , LaplacianKernel , GaussianKernel , InformationGain , EpanechnikovKernel , CauchyKernel , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , F1< AS, PositiveClass > , Precision< AS, PositiveClass > , InformationGain , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , GiniImpurity , HyperbolicTangentKernel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , SoftmaxRegressionFunction , BiasSVDFunction< MatType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , IPMetric< KernelType > , MahalanobisDistance< TakeRoot > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , SphericalKernel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , SoftmaxErrorFunction< MetricType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LaplacianKernel
• EvaluateFitnessFunction() : HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , BinaryNumericSplit< FitnessFunction, ObservationType >
• EvaluatePtr() : GiniGain , InformationGain
• EvaluateWithGradient() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , LinearSVMFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LMNNFunction< MetricType > , LogisticRegressionFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LinearSVMFunction< MatType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• ExactClone() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ExampleKernel() : ExampleKernel
• ExampleTree() : ExampleTree< MetricType, StatisticType, MatType >
• ExplorationSteps() : TrainingConfig
• ExtractSVD() : QUIC_SVD