- e -
- EarthMoverDistance() : EarthMoverDistance< InputDataType, OutputDataType >
- EdgePair() : EdgePair
- EffectiveError() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
- EigenvalueRatioConstraint() : EigenvalueRatioConstraint
- EigenValues() : PCAWhitening, ZCAWhitening
- EigenVectors() : PCAWhitening, ZCAWhitening
- ElkanKMeans() : ElkanKMeans< MetricType, MatType >
- ELU() : ELU< InputDataType, OutputDataType >
- EmbedDim() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
- EmbeddingSize() : Lookup< InputDataType, OutputDataType >
- EMFit() : EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >
- Emission() : HMM< Distribution >
- EmptyCluster() : AllowEmptyClusters, KillEmptyClusters, MaxVarianceNewCluster
- EmptyClusterAction() : KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- EmptyLoss() : EmptyLoss< InputDataType, OutputDataType >
- EmptyStatistic() : EmptyStatistic
- Enabled() : Timers
- EnableTiming() : Timer
- Encode() : BagOfWordsEncodingPolicy, DictionaryEncodingPolicy, StringEncoding< EncodingPolicyType, DictionaryType >, TfIdfEncodingPolicy, LocalCoordinateCoding, Acrobot::State, CartPole::State, ContinuousActionEnv::State, ContinuousDoublePoleCart::State, ContinuousMountainCar::State, DiscreteActionEnv::State, DoublePoleCart::State, MountainCar::State, Pendulum::State, SparseCoding
- Encoding() : PositionalEncoding< InputDataType, OutputDataType >
- EncodingPolicy() : StringEncoding< EncodingPolicyType, DictionaryType >
- End() : DTree< MatType, TagType >, AllDimensionSelect, MultipleRandomDimensionSelect, RandomDimensionSelect
- EndCol() : Subview< InputDataType, OutputDataType >
- EndRow() : Subview< InputDataType, OutputDataType >
- Enter() : PathCacher
- Environment() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >, QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >, RewardClipping< EnvironmentType >
- EpanechnikovKernel() : EpanechnikovKernel
- Episode() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >, SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- Eps() : CrossEntropyError< InputDataType, OutputDataType >, PoissonNLLLoss< InputDataType, OutputDataType >
- Epsilon() : BatchNorm< InputDataType, OutputDataType >, LayerNorm< InputDataType, OutputDataType >, VirtualBatchNorm< InputDataType, OutputDataType >, PCAWhitening, ZCAWhitening, NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >, NSModel< SortPolicy >, QUICSVDPolicy, GreedyPolicy< EnvironmentType >, RandomizedSVD
- Err() : RegressionDistribution
- Estimate() : LaplaceDistribution, EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >, HMM< Distribution >, HMMRegression
- EstimateRadius() : MeanShift< UseKernel, KernelType, MatType >
- Evaluate() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, GAN< Model, InitializationRuleType, Noise, PolicyType >, LRegularizer< TPower >, NoRegularizer, OrthogonalRegularizer, RBM< InitializationRuleType, DataType, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, Accuracy, F1< AS, PositiveClass >, KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >, MSE, Precision< AS, PositiveClass >, R2Score, Recall< AS, PositiveClass >, SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >, CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs >, KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >, KDEModel, CauchyKernel, CosineDistance, EpanechnikovKernel, ExampleKernel, GaussianKernel, HyperbolicTangentKernel, LaplacianKernel, LinearKernel, PolynomialKernel, PSpectrumStringKernel, SphericalKernel, TriangularKernel, LMNNFunction< MetricType >, BLEU< ElemType, PrecisionType >, IoU< UseCoordinates >, IPMetric< KernelType >, LMetric< TPower, TTakeRoot >, MahalanobisDistance< TakeRoot >, NMS< UseCoordinates >, SoftmaxErrorFunction< MetricType >, SparseAutoencoderFunction, LogisticRegressionFunction< MatType >, SoftmaxRegressionFunction, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >, LinearSVMFunction< MatType >, GiniGain, GiniImpurity, HoeffdingInformationGain, InformationGain
- EvaluateFitnessFunction() : BinaryNumericSplit< FitnessFunction, ObservationType >, HoeffdingCategoricalSplit< FitnessFunction >, HoeffdingNumericSplit< FitnessFunction, ObservationType >
- EvaluatePtr() : GiniGain, InformationGain
- EvaluateWithGradient() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, GAN< Model, InitializationRuleType, Noise, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, LMNNFunction< MetricType >, LogisticRegressionFunction< MatType >, LinearSVMFunction< MatType >
- ExactClone() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- Example() : Example
- ExampleKernel() : ExampleKernel
- ExampleTree() : ExampleTree< MetricType, StatisticType, MatType >
- ExampleWrapper() : ExampleWrapper
- ExplorationSteps() : TrainingConfig
- ExtractSVD() : QUIC_SVD