- e -
- EdgePair()
: mlpack::emst::EdgePair
- Edges()
: mlpack::optimization::LovaszThetaSDP
- EigenvalueRatioConstraint()
: mlpack::gmm::EigenvalueRatioConstraint
- ElkanKMeans()
: mlpack::kmeans::ElkanKMeans< MetricType, MatType >
- EMFit()
: mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
- Emission()
: mlpack::hmm::HMM< Distribution >
- EmitResults()
: mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
- EmptyCluster()
: mlpack::kmeans::AllowEmptyClusters
, mlpack::kmeans::MaxVarianceNewCluster
- 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
- EpanechnikovKernel()
: mlpack::kernel::EpanechnikovKernel
- Err()
: mlpack::distribution::RegressionDistribution
- 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::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::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::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 >
- 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