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• L2Error() : CosineTree
• L_BFGS() : L_BFGS
• Labels() : NCA< MetricType, OptimizerType > , SparseSVMFunction
• Lambda() : AugLagrangian , LinearRegression , SparseAutoencoderFunction , LinearRegression , AugLagrangianFunction< LagrangianFunction > , LocalCoordinateCoding , AugLagrangianFunction< LagrangianFunction > , LogisticRegression< MatType > , ConstrLpBallSolver , LogisticRegressionFunction< MatType > , ConstrLpBallSolver , RegularizedSVDFunction< MatType > , SoftmaxRegression , ExponentialSchedule , SoftmaxRegression , SoftmaxRegressionFunction , AugLagrangian , ExponentialSchedule , SoftmaxRegressionFunction , SparseAutoencoder , ELU< InputDataType, OutputDataType > , SparseAutoencoder , SparseAutoencoderFunction
• Lambda1() : SparseCoding
• Lambda2() : SparseCoding
• LambdaPath() : LARS
• LaplaceDistribution() : LaplaceDistribution
• LaplacianKernel() : LaplacianKernel
• LARS() : LARS
• LastBaseCase() : TraversalInfo< TreeType >
• LastDistance() : NeighborSearchStat< SortPolicy > , RangeSearchStat
• LastKernel() : FastMKSStat
• LastKernelNode() : FastMKSStat
• LastQueryNode() : TraversalInfo< TreeType >
• LastReferenceNode() : TraversalInfo< TreeType >
• LastScore() : TraversalInfo< TreeType >
• LayerNorm() : LayerNorm< InputDataType, OutputDataType >
• LBFGS() : AugLagrangian
• LeafSize() : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• LeakyReLU() : LeakyReLU< InputDataType, OutputDataType >
• LearnDistance() : NCA< MetricType, OptimizerType >
• Leave() : PathCacher
• LecunNormalInitialization() : LecunNormalInitialization
• Left() : CosineTree , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CosineTree , HyperplaneBase< BoundT, ProjVectorT > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , DTree< MatType, TagType >
• Lesser() : EdgePair
• Linear() : Linear< InputDataType, OutputDataType >
• LinearConstrSolver() : FrankWolfe< LinearConstrSolverType, UpdateRuleType >
• LinearKernel() : LinearKernel
• LinearNoBias() : LinearNoBias< InputDataType, OutputDataType >
• LinearRegression() : LinearRegression
• LineSearch() : LineSearch
• Lipschitz() : KatyushaType< Proximal >
• LMetric() : LMetric< TPower, TTakeRoot >
• Lo() : RangeType< T >
• Load() : LoadCSV
• LoadCSV() : LoadCSV
• LoadOutputParameterVisitor() : LoadOutputParameterVisitor
• LocalCoordinateCoding() : LocalCoordinateCoding
• Location() : Glimpse< InputDataType, OutputDataType >
• LogisticRegression() : LogisticRegression< MatType >
• LogisticRegressionFunction() : LogisticRegressionFunction< MatType >
• LogLikelihood() : HMM< Distribution > , HMMRegression
• LogNegativeError() : DTree< MatType, TagType >
• LogNegError() : DTree< MatType, TagType >
• LogProbability() : LaplaceDistribution , GammaDistribution , GaussianDistribution , DiscreteDistribution , GaussianDistribution , RegressionDistribution
• LogSoftMax() : LogSoftMax< InputDataType, OutputDataType >
• LogVolume() : DTree< MatType, TagType >
• Lookup() : Lookup< InputDataType, OutputDataType >
• LovaszThetaSDP() : LovaszThetaSDP
• LowerBound() : DualTreeKMeansStatistic , CMAES< SelectionPolicyType >
• LRSDP() : LRSDP< SDPType >
• LRSDPFunction() : LRSDPFunction< SDPType >
• LSHSearch() : LSHSearch< SortPolicy >
• LSTM() : LSTM< InputDataType, OutputDataType >