- e -

• EasomFunction() : EasomFunction
• EdgePair() : EdgePair
• Edges() : LovaszThetaSDP
• EffectiveError() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• EggholderFunction() : EggholderFunction
• EigenvalueRatioConstraint() : EigenvalueRatioConstraint
• ElkanKMeans() : ElkanKMeans< MetricType, MatType >
• ELU() : ELU< InputDataType, OutputDataType >
• EMFit() : EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• 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() : DTree< MatType, TagType > , AllDimensionSelect , MultipleRandomDimensionSelect< NumDimensions > , RandomDimensionSelect
• Enter() : PathCacher
• Environment() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• EpanechnikovKernel() : EpanechnikovKernel
• Episode() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• EpochBatches() : CyclicalDecay , SnapshotEnsembles
• Eps() : CrossEntropyError< InputDataType, OutputDataType >
• Epsilon() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy > , AdaDelta , AdaDeltaUpdate , AdaGrad , AdaGradUpdate , AdaMaxUpdate , AdamType< UpdateRule > , AdamUpdate , AMSGradUpdate , NadaMaxUpdate , NadamUpdate , OptimisticAdamUpdate , RMSProp , RMSPropUpdate , SMORMS3 , SMORMS3Update , BukinFunction , QUICSVDPolicy , GreedyPolicy< EnvironmentType > , RandomizedSVD
• Err() : RegressionDistribution
• Estimate() : LaplaceDistribution , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , HMM< Distribution > , HMMRegression
• EstimateRadius() : MeanShift< UseKernel, KernelType, MatType >
• Evaluate() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Accuracy , F1< AS, PositiveClass > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , MSE , Precision< AS, PositiveClass > , Recall< AS, PositiveClass > , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , CosineDistance , EpanechnikovKernel , ExampleKernel , GaussianKernel , HyperbolicTangentKernel , LaplacianKernel , LinearKernel , PolynomialKernel , PSpectrumStringKernel , SphericalKernel , TriangularKernel , IPMetric< KernelType > , LMetric< TPower, TTakeRoot > , MahalanobisDistance< TakeRoot > , SoftmaxErrorFunction< MetricType > , SparseAutoencoderFunction , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , AddDecomposableEvaluate< FunctionType, HasDecomposableEvaluateWithGradient, true > , AddDecomposableEvaluate< FunctionType, true, false > , AddDecomposableEvaluateConst< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , AddDecomposableEvaluateConst< FunctionType, HasDecomposableEvaluateWithGradient, true > , AddDecomposableEvaluateConst< FunctionType, true, false > , AddDecomposableEvaluateStatic< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableEvaluate > , AddDecomposableEvaluateStatic< FunctionType, HasDecomposableEvaluateWithGradient, true > , AddDecomposableEvaluateStatic< FunctionType, true, false > , AddDecomposableEvaluateWithGradient< FunctionType, false, true, true > , AddEvaluate< FunctionType, HasEvaluateWithGradient, HasEvaluate > , AddEvaluate< FunctionType, HasEvaluateWithGradient, true > , AddEvaluate< FunctionType, true, false > , AddEvaluateConst< FunctionType, HasEvaluateWithGradient, HasEvaluate > , AddEvaluateConst< FunctionType, HasEvaluateWithGradient, true > , AddEvaluateConst< FunctionType, true, false > , AddEvaluateStatic< FunctionType, HasEvaluateWithGradient, HasEvaluate > , AddEvaluateStatic< FunctionType, HasEvaluateWithGradient, true > , AddEvaluateStatic< FunctionType, true, false > , AugLagrangianFunction< LagrangianFunction > , AugLagrangianTestFunction , FuncSq , GockenbachFunction , LovaszThetaSDP , LRSDPFunction< SDPType > , BoothFunction , BukinFunction , ColvilleFunction , DropWaveFunction , EasomFunction , EggholderFunction , GDTestFunction , GeneralizedRosenbrockFunction , MatyasFunction , McCormickFunction , RastriginFunction , RosenbrockFunction , RosenbrockWoodFunction , SchwefelFunction , SGDTestFunction , SparseTestFunction , SphereFunction , StyblinskiTangFunction , WoodFunction , TestFuncFW , LogisticRegressionFunction< MatType > , SoftmaxRegressionFunction , RegularizedSVDFunction< MatType > , GiniGain , GiniImpurity , InformationGain , SparseSVMFunction
• EvaluateConstraint() : AugLagrangianTestFunction , GockenbachFunction , LovaszThetaSDP , LRSDPFunction< SDPType >
• EvaluateFitnessFunction() : BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType >
• EvaluateWithGradient() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , AddDecomposableEvaluateWithGradient< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient > , AddDecomposableEvaluateWithGradient< FunctionType, HasDecomposableEvaluateGradient, true > , AddDecomposableEvaluateWithGradient< FunctionType, true, false > , AddDecomposableEvaluateWithGradient< FunctionType, true, true, false > , AddDecomposableEvaluateWithGradientConst< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient > , AddDecomposableEvaluateWithGradientConst< FunctionType, HasDecomposableEvaluateGradient, true > , AddDecomposableEvaluateWithGradientConst< FunctionType, true, false > , AddDecomposableEvaluateWithGradientStatic< FunctionType, HasDecomposableEvaluateGradient, HasDecomposableEvaluateWithGradient > , AddDecomposableEvaluateWithGradientStatic< FunctionType, HasDecomposableEvaluateGradient, true > , AddDecomposableEvaluateWithGradientStatic< FunctionType, true, false > , AddEvaluateWithGradient< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , AddEvaluateWithGradient< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradient< FunctionType, true, false > , AddEvaluateWithGradientConst< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , AddEvaluateWithGradientConst< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradientConst< FunctionType, true, false > , AddEvaluateWithGradientStatic< FunctionType, HasEvaluateGradient, HasEvaluateWithGradient > , AddEvaluateWithGradientStatic< FunctionType, HasEvaluateGradient, true > , AddEvaluateWithGradientStatic< FunctionType, true, false > , LogisticRegressionFunction< MatType >
• ExactClone() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ExampleKernel() : ExampleKernel
• ExampleTree() : ExampleTree< MetricType, StatisticType, MatType >
• ExplorationSteps() : TrainingConfig
• ExponentialBackoff() : ExponentialBackoff
• ExponentialSchedule() : ExponentialSchedule
• ExtractSVD() : QUIC_SVD