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

- e -

• EdgePair() : mlpack::emst::EdgePair
• edges : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType > , mlpack::optimization::LovaszThetaSDP
• Edges() : mlpack::optimization::LovaszThetaSDP
• EffectiveError() : mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• EigenvalueRatioConstraint() : mlpack::gmm::EigenvalueRatioConstraint
• elasticNet : mlpack::regression::LARS
• elements : mlpack::ann::Select< InputDataType, OutputDataType >
• ElemType : mlpack::bound::BallBound< MetricType, VecType > , mlpack::det::DTree< MatType, TagType > , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType > , mlpack::tree::RPTreeMaxSplit< BoundType, MatType > , mlpack::tree::RPTreeMeanSplit< BoundType, MatType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >
• ElkanKMeans() : mlpack::kmeans::ElkanKMeans< MetricType, MatType >
• ELU() : mlpack::ann::ELU< InputDataType, OutputDataType >
• EMFit() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• emission : mlpack::hmm::HMM< Distribution >
• Emission() : mlpack::hmm::HMM< Distribution >
• EmitResults() : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• empty : mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType >
• EmptyCluster() : mlpack::kmeans::AllowEmptyClusters , mlpack::kmeans::KillEmptyClusters , mlpack::kmeans::MaxVarianceNewCluster
• emptyClusterAction : mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• EmptyClusterAction() : mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• EmptyStatistic() : mlpack::tree::EmptyStatistic
• Encode() : mlpack::lcc::LocalCoordinateCoding , mlpack::sparse_coding::SparseCoding
• End() : mlpack::det::DTree< MatType, TagType >
• end : mlpack::det::DTree< MatType, TagType >
• epan : mlpack::fastmks::FastMKSModel
• EPANECHNIKOV_KERNEL : mlpack::fastmks::FastMKSModel
• EpanechnikovKernel() : mlpack::kernel::EpanechnikovKernel
• eps : mlpack::optimization::AdaDelta< DecomposableFunctionType > , mlpack::optimization::Adam< DecomposableFunctionType > , mlpack::optimization::RMSprop< DecomposableFunctionType > , mlpack::svd::RandomizedSVD
• epsilon : mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy > , mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• Epsilon() : mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• epsilon : mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Epsilon() : mlpack::neighbor::NSModel< SortPolicy > , mlpack::optimization::AdaDelta< DecomposableFunctionType > , mlpack::optimization::Adam< DecomposableFunctionType > , mlpack::optimization::RMSprop< DecomposableFunctionType >
• epsilon : mlpack::pca::QUICSVDPolicy
• Epsilon() : mlpack::pca::QUICSVDPolicy , mlpack::svd::RandomizedSVD
• err : mlpack::distribution::RegressionDistribution
• Err() : mlpack::distribution::RegressionDistribution
• error : mlpack::ann::BackwardVisitor , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• errorFunction : mlpack::nca::NCA< MetricType, OptimizerType >
• Estimate() : mlpack::distribution::LaplaceDistribution , mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy > , mlpack::hmm::HMM< Distribution > , mlpack::hmm::HMMRegression
• EstimateRadius() : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• Evaluate() : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::kernel::CosineDistance , mlpack::kernel::EpanechnikovKernel , mlpack::kernel::ExampleKernel , mlpack::kernel::GaussianKernel , mlpack::kernel::HyperbolicTangentKernel , mlpack::kernel::LaplacianKernel , mlpack::kernel::LinearKernel , mlpack::kernel::PolynomialKernel , mlpack::kernel::PSpectrumStringKernel , mlpack::kernel::SphericalKernel , mlpack::kernel::TriangularKernel , mlpack::metric::IPMetric< KernelType > , mlpack::metric::LMetric< TPower, TTakeRoot > , mlpack::metric::MahalanobisDistance< TakeRoot > , mlpack::nca::SoftmaxErrorFunction< MetricType > , mlpack::nn::SparseAutoencoderFunction , mlpack::optimization::AugLagrangianFunction< LagrangianFunction > , mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::L_BFGS< FunctionType > , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType > , mlpack::optimization::test::GDTestFunction , mlpack::optimization::test::GeneralizedRosenbrockFunction , mlpack::optimization::test::RosenbrockFunction , mlpack::optimization::test::RosenbrockWoodFunction , mlpack::optimization::test::SGDTestFunction , mlpack::optimization::test::WoodFunction , mlpack::regression::LogisticRegressionFunction< MatType > , mlpack::regression::SoftmaxRegressionFunction , mlpack::svd::RegularizedSVDFunction , mlpack::tree::GiniGain , mlpack::tree::GiniImpurity , mlpack::tree::InformationGain
• EvaluateConstraint() : mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType >
• EvaluateFitnessFunction() : mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType > , mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction > , mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
• ExactClone() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ExampleKernel() : mlpack::kernel::ExampleKernel
• ExampleTree() : mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
• ExponentialSchedule() : mlpack::optimization::ExponentialSchedule
• ExtractCentroids() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• ExtractSVD() : mlpack::svd::QUIC_SVD