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