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• L1Loss() : L1Loss< InputDataType, OutputDataType >
• L2Error() : CosineTree
• Labels() : LMNN< MetricType, OptimizerType > , NCA< MetricType, OptimizerType >
• Lambda() : HardShrink< InputDataType, OutputDataType > , LinearRegression , SoftmaxRegressionFunction , SparseAutoencoder , LinearRegression , SparseAutoencoder , SparseAutoencoderFunction , SoftShrink< InputDataType, OutputDataType > , LinearSVM< MatType > , SparseAutoencoderFunction , SVDPlusPlusFunction< MatType > , LinearSVM< MatType > , SoftShrink< InputDataType, OutputDataType > , LinearSVMFunction< MatType > , BiasSVDFunction< MatType > , LocalCoordinateCoding , ELU< InputDataType, OutputDataType > , BiasSVDPolicy , LogisticRegression< MatType > , BiasSVDPolicy , LogisticRegressionFunction< MatType > , HardShrink< InputDataType, OutputDataType > , SVDPlusPlusPolicy , RegularizedSVDFunction< MatType > , SoftmaxRegression , SVDPlusPlusPolicy , SoftmaxRegression , SoftmaxRegressionFunction
• Lambda1() : SparseCoding
• Lambda2() : SparseCoding
• LambdaPath() : LARS
• Language() : BindingInfo
• 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 >
• Layer() : WeightNorm< InputDataType, OutputDataType, CustomLayers >
• LayerNameVisitor() : LayerNameVisitor
• LayerNorm() : LayerNorm< InputDataType, OutputDataType >
• LayerString() : LayerNameVisitor
• LeafSize() : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• LeakyReLU() : LeakyReLU< InputDataType, OutputDataType >
• LearnDistance() : LMNN< MetricType, OptimizerType > , NCA< MetricType, OptimizerType >
• Leave() : PathCacher
• LecunNormalInitialization() : LecunNormalInitialization
• Left() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , DTree< MatType, TagType > , CosineTree , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CosineTree , HyperplaneBase< BoundT, ProjVectorT >
• Lesser() : EdgePair
• Linear() : Linear< InputDataType, OutputDataType, RegularizerType >
• Linear3D() : Linear3D< InputDataType, OutputDataType, RegularizerType >
• LinearKernel() : LinearKernel
• LinearNoBias() : LinearNoBias< InputDataType, OutputDataType, RegularizerType >
• LinearRegression() : LinearRegression
• LinearSVM() : LinearSVM< MatType >
• LinearSVMFunction() : LinearSVMFunction< MatType >
• LinesSizes() : TfIdfEncodingPolicy
• LMetric() : LMetric< TPower, TTakeRoot >
• LMetricSearch() : LMetricSearch< TPower >
• LMNN() : LMNN< MetricType, OptimizerType >
• LMNNFunction() : LMNNFunction< MetricType >
• Lo() : RangeType< T >
• Load() : LoadCSV
• load() : HMM< Distribution >
• LoadCSV() : LoadCSV
• LoadOutputParameterVisitor() : LoadOutputParameterVisitor
• LocalCoordinateCoding() : LocalCoordinateCoding
• Location() : Glimpse< InputDataType, OutputDataType >
• LogCoshLoss() : LogCoshLoss< InputDataType, OutputDataType >
• LogDetCov() : GaussianDistribution
• LogEstimate() : HMM< Distribution >
• LogInput() : PoissonNLLLoss< InputDataType, OutputDataType >
• LogisticRegression() : LogisticRegression< MatType >
• LogisticRegressionFunction() : LogisticRegressionFunction< MatType >
• Logits() : BernoulliDistribution< DataType >
• LogLikelihood() : HMMRegression , HMM< Distribution >
• LogNegativeError() : DTree< MatType, TagType >
• LogNegError() : DTree< MatType, TagType >
• LogProbability() : BernoulliDistribution< DataType > , GaussianDistribution , DiagonalGMM , GMM , DiscreteDistribution , NormalDistribution< DataType > , DiagonalGaussianDistribution , GammaDistribution , LaplaceDistribution , GammaDistribution , DiagonalGMM , DiscreteDistribution , LaplaceDistribution , DiagonalGaussianDistribution , GMM , RegressionDistribution , GaussianDistribution
• LogProbBackward() : BernoulliDistribution< DataType >
• LogSoftMax() : LogSoftMax< InputDataType, OutputDataType >
• LogVolume() : DTree< MatType, TagType >
• LongDescription() : LongDescription
• LongDescriptionWrapper() : LongDescriptionWrapper
• Lookup() : Lookup< InputDataType, OutputDataType >
• Loss() : Reparametrization< InputDataType, OutputDataType >
• LowerBound() : DualTreeKMeansStatistic
• LRegularizer() : LRegularizer< TPower >
• LSHSearch() : LSHSearch< SortPolicy, MatType >
• LSTM() : LSTM< InputDataType, OutputDataType >