- s -

• SA() : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• SampleAtLeaves() : mlpack::neighbor::RAModel< SortPolicy > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType >
• SampleInitialization() : mlpack::kmeans::SampleInitialization
• Samplings() : mlpack::kmeans::RefinedStart
• SaveOutputParameterVisitor() : mlpack::ann::SaveOutputParameterVisitor
• Scale() : mlpack::distribution::LaplaceDistribution , mlpack::kernel::HyperbolicTangentKernel , mlpack::math::ColumnsToBlocks , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• ScaleData() : mlpack::pca::PCAType< DecompositionPolicy >
• Score() : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType > , mlpack::range::RangeSearchRules< MetricType, TreeType >
• Scores() : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType > , mlpack::range::RangeSearchRules< MetricType, TreeType >
• Sdp() : mlpack::matrix_completion::MatrixCompletion
• SDP() : mlpack::optimization::LRSDP< SDPType > , mlpack::optimization::LRSDPFunction< SDPType > , mlpack::optimization::PrimalDualSolver< SDPType > , mlpack::optimization::SDP< ObjectiveMatrixType >
• Search() : mlpack::fastmks::FastMKS< KernelType, MatType, TreeType > , mlpack::fastmks::FastMKSModel , mlpack::neighbor::DrusillaSelect< MatType > , mlpack::neighbor::LSHSearch< SortPolicy > , mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::neighbor::NSModel< SortPolicy > , mlpack::neighbor::QDAFN< MatType > , mlpack::neighbor::RAModel< SortPolicy > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType > , mlpack::range::RSModel
• SearchDirection() : mlpack::optimization::L_BFGS< FunctionType >
• SearchLeaf() : mlpack::neighbor::BiSearchVisitor< SortPolicy > , mlpack::range::BiSearchVisitor
• SearchMode() : mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::neighbor::NSModel< SortPolicy >
• SecondArrayShim() : mlpack::data::SecondArrayShim< T >
• SecondBound() : mlpack::neighbor::NeighborSearchStat< SortPolicy >
• SecondHashTable() : mlpack::neighbor::LSHSearch< SortPolicy >
• SecondHashWeights() : mlpack::neighbor::LSHSearch< SortPolicy >
• SecondNormalArrayShim() : mlpack::data::SecondNormalArrayShim< T >
• SecondShim() : mlpack::data::SecondShim< T >
• Select() : mlpack::ann::Select< InputDataType, OutputDataType > , mlpack::dbscan::RandomPointSelection , mlpack::kernel::KMeansSelection< ClusteringType, maxIterations > , mlpack::kernel::OrderedSelection , mlpack::kernel::RandomSelection
• SelectVantagePoint() : mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >
• SelfKernel() : mlpack::fastmks::FastMKSStat
• Sequential() : mlpack::ann::Sequential< InputDataType, OutputDataType >
• Serialize() : mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > , mlpack::adaboost::AdaBoostModel , mlpack::amf::AverageInitialization , mlpack::amf::GivenInitialization , mlpack::amf::NMFALSUpdate , mlpack::amf::NMFMultiplicativeDistanceUpdate , mlpack::amf::NMFMultiplicativeDivergenceUpdate , mlpack::amf::RandomAcolInitialization< columnsToAverage > , mlpack::amf::RandomInitialization , mlpack::amf::SVDBatchLearning , mlpack::ann::Add< InputDataType, OutputDataType > , mlpack::ann::AddMerge< InputDataType, OutputDataType > , mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , mlpack::ann::Constant< InputDataType, OutputDataType > , mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::ann::ELU< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::HardTanH< InputDataType, OutputDataType > , mlpack::ann::Join< InputDataType, OutputDataType > , mlpack::ann::LeakyReLU< InputDataType, OutputDataType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::LogSoftMax< InputDataType, OutputDataType > , mlpack::ann::Lookup< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::MeanSquaredError< InputDataType, OutputDataType > , mlpack::ann::MultiplyConstant< InputDataType, OutputDataType > , mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType > , mlpack::ann::PReLU< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::Select< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType > , mlpack::ann::VRClassReward< InputDataType, OutputDataType > , mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType > , mlpack::cf::CF , mlpack::data::DatasetMapper< PolicyType >
• serialize() : mlpack::data::SecondArrayShim< T > , mlpack::data::SecondNormalArrayShim< T > , mlpack::data::SecondShim< T >
• Serialize() : mlpack::decision_stump::DecisionStump< MatType > , mlpack::det::DTree< MatType, TagType > , mlpack::distribution::DiscreteDistribution , mlpack::distribution::GaussianDistribution , mlpack::distribution::LaplaceDistribution , mlpack::distribution::RegressionDistribution , mlpack::fastmks::FastMKS< KernelType, MatType, TreeType > , mlpack::fastmks::FastMKSModel , mlpack::fastmks::FastMKSStat , mlpack::gmm::DiagonalConstraint , mlpack::gmm::EigenvalueRatioConstraint , mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy > , mlpack::gmm::GMM , mlpack::gmm::NoConstraint , mlpack::gmm::PositiveDefiniteConstraint , mlpack::hmm::HMM< Distribution > , mlpack::hmm::HMMModel , 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::SphericalKernel , mlpack::kernel::TriangularKernel , mlpack::kmeans::AllowEmptyClusters , mlpack::kmeans::KillEmptyClusters , mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , mlpack::kmeans::MaxVarianceNewCluster , mlpack::kmeans::RandomPartition , mlpack::kmeans::RefinedStart , mlpack::lcc::LocalCoordinateCoding , mlpack::math::RangeType< T > , mlpack::metric::IPMetric< KernelType > , mlpack::metric::LMetric< TPower, TTakeRoot > , mlpack::metric::MahalanobisDistance< TakeRoot > , mlpack::naive_bayes::NaiveBayesClassifier< MatType > , mlpack::neighbor::DrusillaSelect< MatType > , mlpack::neighbor::LSHSearch< SortPolicy > , mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::neighbor::NeighborSearchStat< SortPolicy > , mlpack::neighbor::NSModel< SortPolicy > , mlpack::neighbor::QDAFN< MatType > , mlpack::neighbor::RAModel< SortPolicy > , mlpack::neighbor::RAQueryStat< SortPolicy > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType > , mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType > , mlpack::range::RangeSearchStat , mlpack::range::RSModel , mlpack::regression::LARS , mlpack::regression::LinearRegression , mlpack::regression::LogisticRegression< MatType > , mlpack::regression::SoftmaxRegression< OptimizerType > , mlpack::sparse_coding::SparseCoding , mlpack::tree::AxisParallelProjVector , mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType > , mlpack::tree::BinaryNumericSplitInfo< ObservationType > , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CategoricalSplitInfo , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion > , mlpack::tree::EmptyStatistic , mlpack::tree::HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction > , mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , mlpack::tree::HoeffdingTreeModel , mlpack::tree::HyperplaneBase< BoundT, ProjVectorT > , mlpack::tree::NoAuxiliaryInformation< TreeType > , mlpack::tree::NumericSplitInfo< ObservationType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::ProjVector , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , mlpack::tree::XTreeAuxiliaryInformation< TreeType > , mlpack::tree::XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
• SerializeVisitor() : mlpack::range::SerializeVisitor< Archive >
• SetInputHeightVisitor() : mlpack::ann::SetInputHeightVisitor
• SetInputWidthVisitor() : mlpack::ann::SetInputWidthVisitor
• SetupSplitDimension() : mlpack::decision_stump::DecisionStump< MatType >
• SGD() : mlpack::optimization::SGD< DecomposableFunctionType >
• SGDTestFunction() : mlpack::optimization::test::SGDTestFunction
• ShrinkBoundForBound() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ShrinkBoundForPoint() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Shuffle() : mlpack::optimization::AdaDelta< DecomposableFunctionType > , mlpack::optimization::Adam< DecomposableFunctionType > , mlpack::optimization::MiniBatchSGD< DecomposableFunctionType > , mlpack::optimization::RMSprop< DecomposableFunctionType > , mlpack::optimization::SGD< DecomposableFunctionType >
• Sigma() : mlpack::optimization::AugLagrangian< LagrangianFunction > , mlpack::optimization::AugLagrangianFunction< LagrangianFunction >
• Sigmoid() : mlpack::nn::SparseAutoencoder< OptimizerType > , mlpack::nn::SparseAutoencoderFunction
• SimpleResidueTermination() : mlpack::amf::SimpleResidueTermination
• SimpleToleranceTermination() : mlpack::amf::SimpleToleranceTermination< MatType >
• SingleMode() : mlpack::fastmks::FastMKS< KernelType, MatType, TreeType > , mlpack::fastmks::FastMKSModel , mlpack::neighbor::RAModel< SortPolicy > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType > , mlpack::range::RSModel
• SinglePredict() : mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• SingleSampleLimit() : mlpack::neighbor::RAModel< SortPolicy > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType >
• SingleTreeTraverser() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , mlpack::tree::Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType >
• Smooth() : mlpack::hmm::HMM< Distribution > , mlpack::hmm::HMMRegression
• SoftDelete() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• SoftmaxErrorFunction() : mlpack::nca::SoftmaxErrorFunction< MetricType >
• SoftmaxRegression() : mlpack::regression::SoftmaxRegression< OptimizerType >
• SoftmaxRegressionFunction() : mlpack::regression::SoftmaxRegressionFunction
• SortPointSet() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• SparseA() : mlpack::optimization::SDP< ObjectiveMatrixType >
• SparseAutoencoder() : mlpack::nn::SparseAutoencoder< OptimizerType >
• SparseAutoencoderFunction() : mlpack::nn::SparseAutoencoderFunction
• SparseB() : mlpack::optimization::SDP< ObjectiveMatrixType >
• SparseCoding() : mlpack::sparse_coding::SparseCoding
• SphericalKernel() : mlpack::kernel::SphericalKernel
• SpillDualTreeTraverser() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• SpillSingleTreeTraverser() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• SpillTree() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Split() : mlpack::decision_stump::DecisionStump< MatType > , mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType > , mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction > , mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
• SplitAuxiliaryInfo() : mlpack::tree::NoAuxiliaryInformation< TreeType > , mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType >
• SplitCheck() : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitData() : mlpack::det::DTree< MatType, TagType >
• SplitDim() : mlpack::det::DTree< MatType, TagType >
• SplitDimension() : mlpack::decision_stump::DecisionStump< MatType > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitHistory() : mlpack::tree::XTreeAuxiliaryInformation< TreeType >
• SplitHistoryStruct() : mlpack::tree::XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
• SplitIfBetter() : mlpack::tree::AllCategoricalSplit< FitnessFunction > , mlpack::tree::BestBinaryNumericSplit< FitnessFunction >
• SplitInfo() : mlpack::tree::Octree< MetricType, StatisticType, MatType >::SplitInfo , mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• SplitLeafNode() : mlpack::tree::HilbertRTreeSplit< splitOrder > , mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType > , mlpack::tree::RStarTreeSplit , mlpack::tree::RTreeSplit , mlpack::tree::XTreeSplit
• SplitLeafNodeAlongPartition() : mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType >
• SplitNearFar() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• SplitNode() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::MeanSplit< BoundType, MatType > , mlpack::tree::MidpointSplit< BoundType, MatType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::RPTreeMaxSplit< BoundType, MatType > , mlpack::tree::RPTreeMeanSplit< BoundType, MatType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >
• SplitNonLeafNode() : mlpack::tree::HilbertRTreeSplit< splitOrder > , mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType > , mlpack::tree::RStarTreeSplit , mlpack::tree::RTreeSplit , mlpack::tree::XTreeSplit
• SplitNonLeafNodeAlongPartition() : mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType >
• SplitPointIndex() : mlpack::tree::CosineTree
• SplitPoints() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• SplitSpace() : mlpack::tree::MeanSpaceSplit< MetricType, MatType > , mlpack::tree::MidpointSpaceSplit< MetricType, MatType >
• SplitValue() : mlpack::det::DTree< MatType, TagType >
• StackData() : mlpack::hmm::HMMRegression
• Start() : mlpack::det::DTree< MatType, TagType > , mlpack::Timer
• StartTimer() : mlpack::Timers
• Stat() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• StaticLowerBoundMovement() : mlpack::kmeans::DualTreeKMeansStatistic
• StaticPruned() : mlpack::kmeans::DualTreeKMeansStatistic
• StaticUpperBoundMovement() : mlpack::kmeans::DualTreeKMeansStatistic
• StepSize() : mlpack::optimization::Adam< DecomposableFunctionType > , mlpack::optimization::GradientDescent< FunctionType > , mlpack::optimization::MiniBatchSGD< DecomposableFunctionType > , mlpack::optimization::RMSprop< DecomposableFunctionType > , mlpack::optimization::SGD< DecomposableFunctionType >
• Stop() : mlpack::Timer
• StopTimer() : mlpack::Timers
• Strategy() : mlpack::data::Imputer< T, MapperType, StrategyType >
• SubtreeLeaves() : mlpack::det::DTree< MatType, TagType >
• SubtreeLeavesLogNegError() : mlpack::det::DTree< MatType, TagType >
• SuccessProbability() : mlpack::neighbor::RAUtil , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SVDBatchLearning() : mlpack::amf::SVDBatchLearning
• SVDCompleteIncrementalLearning() : mlpack::amf::SVDCompleteIncrementalLearning< MatType > , mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >
• SVDIncompleteIncrementalLearning() : mlpack::amf::SVDIncompleteIncrementalLearning
• SVDWrapper() : mlpack::cf::SVDWrapper< Factorizer >
• SweepLeafNode() : mlpack::tree::MinimalCoverageSweep< SplitPolicy > , mlpack::tree::MinimalSplitsNumberSweep< SplitPolicy >
• SweepNonLeafNode() : mlpack::tree::MinimalCoverageSweep< SplitPolicy > , mlpack::tree::MinimalSplitsNumberSweep< SplitPolicy >
• Sweeps() : mlpack::radical::Radical