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

- l -

• l : mlpack::neighbor::DrusillaSelect< MatType > , mlpack::neighbor::QDAFN< MatType >
• L2Error() : mlpack::tree::CosineTree
• l2Error : mlpack::tree::CosineTree
• l2NormsSquared : mlpack::tree::CosineTree
• L_BFGS() : mlpack::optimization::L_BFGS< FunctionType >
• L_BFGSType : mlpack::optimization::AugLagrangian< LagrangianFunction >
• labels : mlpack::nca::NCA< MetricType, OptimizerType >
• Labels() : mlpack::nca::NCA< MetricType, OptimizerType >
• labels : mlpack::nca::SoftmaxErrorFunction< MetricType > , mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
• lambda : mlpack::lcc::LocalCoordinateCoding
• Lambda() : mlpack::lcc::LocalCoordinateCoding , mlpack::nn::SparseAutoencoder< OptimizerType >
• lambda : mlpack::nn::SparseAutoencoder< OptimizerType >
• Lambda() : mlpack::nn::SparseAutoencoderFunction
• lambda : mlpack::nn::SparseAutoencoderFunction
• Lambda() : mlpack::optimization::AugLagrangian< LagrangianFunction > , mlpack::optimization::AugLagrangianFunction< LagrangianFunction >
• lambda : mlpack::optimization::AugLagrangianFunction< LagrangianFunction >
• Lambda() : mlpack::optimization::AugLagrangianFunction< LagrangianFunction > , mlpack::optimization::ExponentialSchedule
• lambda : mlpack::optimization::ExponentialSchedule , mlpack::regression::LinearRegression
• Lambda() : mlpack::regression::LinearRegression
• lambda : mlpack::regression::LogisticRegression< MatType >
• Lambda() : mlpack::regression::LogisticRegression< MatType >
• lambda : mlpack::regression::LogisticRegressionFunction< MatType >
• Lambda() : mlpack::regression::LogisticRegressionFunction< MatType >
• lambda : mlpack::regression::SoftmaxRegression< OptimizerType >
• Lambda() : mlpack::regression::SoftmaxRegression< OptimizerType >
• lambda : mlpack::regression::SoftmaxRegressionFunction
• Lambda() : mlpack::regression::SoftmaxRegressionFunction
• lambda : mlpack::svd::RegularizedSVD< OptimizerType > , mlpack::svd::RegularizedSVDFunction
• Lambda() : mlpack::svd::RegularizedSVDFunction
• lambda1 : mlpack::regression::LARS , mlpack::sparse_coding::SparseCoding
• Lambda1() : mlpack::sparse_coding::SparseCoding
• lambda2 : mlpack::regression::LARS
• Lambda2() : mlpack::sparse_coding::SparseCoding
• lambda2 : mlpack::sparse_coding::SparseCoding
• lambdaPath : mlpack::regression::LARS
• LambdaPath() : mlpack::regression::LARS
• LaplaceDistribution() : mlpack::distribution::LaplaceDistribution
• LaplacianKernel() : mlpack::kernel::LaplacianKernel
• LARS() : mlpack::regression::LARS
• lasso : mlpack::regression::LARS
• lastBaseCase : mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType >
• LastBaseCase() : mlpack::tree::TraversalInfo< TreeType >
• lastBaseCase : mlpack::tree::TraversalInfo< TreeType >
• lastCoordinates : mlpack::nca::SoftmaxErrorFunction< MetricType >
• lastDimension : mlpack::tree::XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
• lastDistance : mlpack::neighbor::NeighborSearchStat< SortPolicy >
• LastDistance() : mlpack::neighbor::NeighborSearchStat< SortPolicy >
• lastDistance : mlpack::range::RangeSearchStat
• LastDistance() : mlpack::range::RangeSearchStat
• lastIterationCentroids : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• lastKernel : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::fastmks::FastMKSStat
• LastKernel() : mlpack::fastmks::FastMKSStat
• lastKernelNode : mlpack::fastmks::FastMKSStat
• LastKernelNode() : mlpack::fastmks::FastMKSStat
• lastQueryIndex : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::range::RangeSearchRules< MetricType, TreeType >
• LastQueryNode() : mlpack::tree::TraversalInfo< TreeType >
• lastQueryNode : mlpack::tree::TraversalInfo< TreeType >
• lastReferenceIndex : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::range::RangeSearchRules< MetricType, TreeType >
• LastReferenceNode() : mlpack::tree::TraversalInfo< TreeType >
• lastReferenceNode : mlpack::tree::TraversalInfo< TreeType >
• LastScore() : mlpack::tree::TraversalInfo< TreeType >
• lastScore : mlpack::tree::TraversalInfo< TreeType >
• LayerAdd() : mlpack::ann::AddVisitor
• LayerDeterministic() : mlpack::ann::DeterministicSetVisitor
• LayerGradients() : mlpack::ann::GradientSetVisitor , mlpack::ann::GradientUpdateVisitor , mlpack::ann::GradientVisitor , mlpack::ann::GradientZeroVisitor
• LayerInputHeight() : mlpack::ann::SetInputHeightVisitor
• LayerInputWidth() : mlpack::ann::SetInputWidthVisitor
• LayerOutputHeight() : mlpack::ann::OutputHeightVisitor
• LayerOutputWidth() : mlpack::ann::OutputWidthVisitor
• LayerParameters() : mlpack::ann::ParametersSetVisitor , mlpack::ann::ParametersVisitor
• LayerReward() : mlpack::ann::RewardSetVisitor
• LayerSize() : mlpack::ann::WeightSetVisitor , mlpack::ann::WeightSizeVisitor
• LBFGS() : mlpack::optimization::AugLagrangian< LagrangianFunction >
• lbfgs : mlpack::optimization::AugLagrangian< LagrangianFunction >
• LBFGS() : mlpack::optimization::AugLagrangian< LagrangianFunction >
• lbfgsInternal : mlpack::optimization::AugLagrangian< LagrangianFunction >
• leafSize : mlpack::neighbor::BiSearchVisitor< SortPolicy > , mlpack::neighbor::NSModel< SortPolicy >
• LeafSize() : mlpack::neighbor::NSModel< SortPolicy >
• leafSize : mlpack::neighbor::RAModel< SortPolicy >
• LeafSize() : mlpack::neighbor::RAModel< SortPolicy >
• leafSize : mlpack::neighbor::TrainVisitor< SortPolicy > , mlpack::range::BiSearchVisitor , mlpack::range::RSModel
• LeafSize() : mlpack::range::RSModel
• leafSize : mlpack::range::TrainVisitor
• LeakyReLU() : mlpack::ann::LeakyReLU< InputDataType, OutputDataType >
• LearnDistance() : mlpack::nca::NCA< MetricType, OptimizerType >
• left : mlpack::det::DTree< MatType, TagType >
• Left() : mlpack::det::DTree< MatType, TagType >
• left : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• Left() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• left : mlpack::tree::CosineTree
• Left() : mlpack::tree::CosineTree , mlpack::tree::HyperplaneBase< BoundT, ProjVectorT >
• left : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Left() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• len : mlpack::data::FirstArrayShim< T > , mlpack::data::FirstNormalArrayShim< T > , mlpack::data::SecondArrayShim< T > , mlpack::data::SecondNormalArrayShim< T >
• lesser : mlpack::emst::EdgePair
• Lesser() : mlpack::emst::EdgePair
• line : mlpack::Backtrace::Frames
• Linear() : mlpack::ann::Linear< InputDataType, OutputDataType >
• linear : mlpack::fastmks::FastMKSModel
• LINEAR_KERNEL : mlpack::fastmks::FastMKSModel
• LinearKernel() : mlpack::kernel::LinearKernel
• LinearNoBias() : mlpack::ann::LinearNoBias< InputDataType, OutputDataType >
• LinearRegression() : mlpack::regression::LinearRegression
• lines : mlpack::neighbor::QDAFN< MatType >
• LineSearch() : mlpack::optimization::L_BFGS< FunctionType >
• LMetric() : mlpack::metric::LMetric< TPower, TTakeRoot >
• Lo() : mlpack::math::RangeType< T >
• lo : mlpack::math::RangeType< T >
• loaded : mlpack::util::ParamData
• LoadOutputParameterVisitor() : mlpack::ann::LoadOutputParameterVisitor
• LocalCoordinateCoding() : mlpack::lcc::LocalCoordinateCoding
• localDataset : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• localMetric : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• Location() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• location : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• locationParameter : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• log2pi : mlpack::distribution::GaussianDistribution
• logDetCov : mlpack::distribution::GaussianDistribution
• LogisticRegression() : mlpack::regression::LogisticRegression< MatType >
• LogisticRegressionFunction() : mlpack::regression::LogisticRegressionFunction< MatType >
• LogLikelihood() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy > , mlpack::gmm::GMM , mlpack::hmm::HMM< Distribution > , mlpack::hmm::HMMRegression
• LogNegativeError() : mlpack::det::DTree< MatType, TagType >
• logNegError : mlpack::det::DTree< MatType, TagType >
• LogNegError() : mlpack::det::DTree< MatType, TagType >
• LogProbability() : mlpack::distribution::DiscreteDistribution , mlpack::distribution::GammaDistribution , mlpack::distribution::GaussianDistribution , mlpack::distribution::LaplaceDistribution , mlpack::distribution::RegressionDistribution
• LogSoftMax() : mlpack::ann::LogSoftMax< InputDataType, OutputDataType >
• logVolume : mlpack::det::DTree< MatType, TagType >
• LogVolume() : mlpack::det::DTree< MatType, TagType >
• Lookup() : mlpack::ann::Lookup< InputDataType, OutputDataType >
• LovaszThetaSDP() : mlpack::optimization::LovaszThetaSDP
• lowerBound : mlpack::ann::NguyenWidrowInitialization , mlpack::ann::RandomInitialization , mlpack::kmeans::DualTreeKMeansStatistic
• LowerBound() : mlpack::kmeans::DualTreeKMeansStatistic
• lowerBounds : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
• LRSDP() : mlpack::optimization::LRSDP< SDPType >
• LRSDPFunction() : mlpack::optimization::LRSDPFunction< SDPType >
• LSHSearch() : mlpack::neighbor::LSHSearch< SortPolicy >
• LSTM() : mlpack::ann::LSTM< InputDataType, OutputDataType >