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

- s -

• SA() : SA< CoolingScheduleType >
• sameSet : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Sample() : Acrobat , ContinuousMountainCar , MountainCar , CartPole , MountainCar , Pendulum , Acrobat , CartPole , Pendulum , AggregatedPolicy< PolicyType > , ContinuousMountainCar , GreedyPolicy< EnvironmentType > , RandomReplay< EnvironmentType >
• SampleAtLeaves() : RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• SampleInitialization() : SampleInitialization
• Samplings() : RefinedStart
• SARAHPlusUpdate() : SARAHPlusUpdate
• SARAHType() : SARAHType< UpdatePolicyType >
• SaveOutputParameterVisitor() : SaveOutputParameterVisitor
• Scale() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , LaplaceDistribution , HyperbolicTangentKernel , ColumnsToBlocks
• ScaleData() : PCA< DecompositionPolicy >
• SCD() : SCD< DescentPolicyType >
• ScheduleDecay() : NadamUpdate , NadaMaxUpdate
• SchwefelFunction() : SchwefelFunction
• score : QueueFrame< TreeType, TraversalInfoType >
• Score() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , PellegMooreKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• Scores() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearch< MetricType, MatType, TreeType > , RangeSearchRules< MetricType, TreeType >
• scores : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Scores() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType >
• SDP() : LRSDP< SDPType > , LRSDPFunction< SDPType > , PrimalDualSolver< SDPType > , SDP< ObjectiveMatrixType >
• Sdp() : MatrixCompletion
• Search() : DrusillaSelect< MatType > , QDAFN< MatType > , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , LSHSearch< SortPolicy > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy > , RangeSearch< MetricType, MatType, TreeType > , RSModel , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• SearchMode() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy >
• SearchParameter() : AdaptiveStepsize
• SecondBound() : NeighborSearchStat< SortPolicy >
• SecondHashTable() : LSHSearch< SortPolicy >
• SecondHashWeights() : LSHSearch< SortPolicy >
• Select() : FullSelection , RandomSelection , Select< InputDataType, OutputDataType > , RandomPointSelection , KMeansSelection< ClusteringType, maxIterations > , OrderedSelection , RandomSelection
• SelectionPercentage() : CNE
• SelectionPolicy() : CMAES< SelectionPolicyType >
• SelfKernel() : FastMKSStat
• Sequential() : Sequential< InputDataType, OutputDataType, CustomLayers >
• serialize() : DiscreteDistribution , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NeighborSearchStat< SortPolicy > , GaussianDistribution , NSModel< SortPolicy > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , LaplaceDistribution , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , RangeSearch< MetricType, MatType, TreeType > , RegressionDistribution , RangeSearchStat , RSModel , CosineDistance , RAModel< SortPolicy > , RAQueryStat< SortPolicy > , EpanechnikovKernel , RASearch< SortPolicy, MetricType, MatType, TreeType > , SoftmaxRegression , ExampleKernel , SparseCoding , GaussianKernel , HyperbolicTangentKernel , LaplacianKernel , LinearKernel , PolynomialKernel , SphericalKernel , TriangularKernel , RangeType< T > , IPMetric< KernelType > , LMetric< TPower, TTakeRoot > , MahalanobisDistance< TakeRoot > , BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , NoAuxiliaryInformation< TreeType > , RPlusPlusTreeAuxiliaryInformation< TreeType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct , XTreeAuxiliaryInformation< TreeType > , HyperplaneBase< BoundT, ProjVectorT > , AxisParallelProjVector , ProjVector , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , EmptyStatistic , AdaBoost< WeakLearnerType, MatType > , AdaBoostModel , AverageInitialization , GivenInitialization , RandomAcolInitialization< columnsToAverage > , RandomInitialization , NMFALSUpdate , NMFMultiplicativeDistanceUpdate , NMFMultiplicativeDivergenceUpdate , SVDBatchLearning , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , DrusillaSelect< MatType > , QDAFN< MatType > , CFType , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DTree< MatType, TagType > , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , FastMKSStat , DiagonalConstraint , EigenvalueRatioConstraint , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , GMM , NoConstraint , PositiveDefiniteConstraint , HMM< Distribution > , HMMModel , BinaryNumericSplit< FitnessFunction, ObservationType > , BinaryNumericSplitInfo< ObservationType > , CategoricalSplitInfo , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , HoeffdingTreeModel , NumericSplitInfo< ObservationType > , AllowEmptyClusters , KillEmptyClusters , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , MaxVarianceNewCluster , RandomPartition , RefinedStart , LARS , LinearRegression , LocalCoordinateCoding , LogisticRegression< MatType > , DatasetMapper< PolicyType, InputType > , LSHSearch< SortPolicy > , NaiveBayesClassifier< ModelMatType >
• SetInputHeightVisitor() : SetInputHeightVisitor
• SetInputWidthVisitor() : SetInputWidthVisitor
• SetPassed() : CLI
• SGD() : SGD< UpdatePolicyType, DecayPolicyType >
• SGDR() : SGDR< UpdatePolicyType >
• SGDTestFunction() : SGDTestFunction
• ShrinkBoundForBound() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ShrinkBoundForPoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Shuffle() : SchwefelFunction , SARAHType< UpdatePolicyType > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , McCormickFunction , AdaDelta , AdaGrad , EasomFunction , AdaGrad , AdamType< UpdateRule > , BigBatchSGD< UpdatePolicyType > , KatyushaType< Proximal > , ParallelSGD< DecayPolicyType > , BoothFunction , BukinFunction , ColvilleFunction , DropWaveFunction , EggholderFunction , GeneralizedRosenbrockFunction , MatyasFunction , RastriginFunction , RosenbrockFunction , RosenbrockWoodFunction , SGDTestFunction , SphereFunction , StyblinskiTangFunction , WoodFunction , RMSProp , SARAHType< UpdatePolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , SGDR< UpdatePolicyType > , SnapshotSGDR< UpdatePolicyType > , SMORMS3 , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LogisticRegressionFunction< MatType > , RegularizedSVDFunction< MatType > , SoftmaxRegressionFunction , SparseSVMFunction , SoftmaxErrorFunction< MetricType > , SGDR< UpdatePolicyType > , SMORMS3
• Sigma() : AugLagrangian , AugLagrangianFunction< LagrangianFunction > , AugLagrangian
• Sigmoid() : SparseAutoencoderFunction , SparseAutoencoder
• SigmoidCrossEntropyError() : SigmoidCrossEntropyError< InputDataType, OutputDataType >
• SimpleCV() : SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >
• SimpleResidueTermination() : SimpleResidueTermination
• SimpleToleranceTermination() : SimpleToleranceTermination< MatType >
• SingleMode() : FastMKS< KernelType, MatType, TreeType > , FastMKSModel , RangeSearch< MetricType, MatType, TreeType > , RSModel , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , FastMKS< KernelType, MatType, TreeType > , RangeSearch< MetricType, MatType, TreeType >
• SingleSampleLimit() : RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , RAModel< SortPolicy >
• SingleTreeTraverser : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType >
• size : Acrobat , CartPole , ContinuousMountainCar::Action , MountainCar , Pendulum::Action
• Size() : RandomReplay< EnvironmentType >
• Smooth() : HMM< Distribution > , HMMRegression
• SMORMS3() : SMORMS3
• SMORMS3Update() : SMORMS3Update
• SnapshotEnsembles() : SnapshotEnsembles
• Snapshots() : SnapshotEnsembles , SnapshotSGDR< UpdatePolicyType >
• SnapshotSGDR() : SnapshotSGDR< UpdatePolicyType >
• SoftDelete() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• SoftmaxErrorFunction() : SoftmaxErrorFunction< MetricType >
• SoftmaxRegression() : SoftmaxRegression
• SoftmaxRegressionFunction() : SoftmaxRegressionFunction
• SortTask() : SortTask
• SPALeRASGD() : SPALeRASGD< DecayPolicyType >
• SPALeRAStepsize() : SPALeRAStepsize
• SparseA() : SDP< ObjectiveMatrixType >
• SparseAutoencoder() : SparseAutoencoder
• SparseAutoencoderFunction() : SparseAutoencoderFunction
• SparseB() : SDP< ObjectiveMatrixType >
• SparseCoding() : SparseCoding
• SparseSVMFunction() : SparseSVMFunction
• SparseTestFunction() : SparseTestFunction
• SphereFunction() : SphereFunction
• SphericalKernel() : SphericalKernel
• SPILL_TREE : NSModel< SortPolicy >
• SpillDualTreeTraverser() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• SpillSingleTreeTraverser() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• SpillTree() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Split() : HoeffdingNumericSplit< FitnessFunction, ObservationType > , DecisionStump< MatType > , BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , DecisionStump< MatType >
• SplitAuxiliaryInfo() : RPlusPlusTreeAuxiliaryInformation< TreeType > , NoAuxiliaryInformation< TreeType >
• SplitCheck() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitDim() : DTree< MatType, TagType >
• SplitDimension() : DecisionStump< MatType >
• splitDimension : MidpointSplit< BoundType, MatType >::SplitInfo , MeanSplit< BoundType, MatType >::SplitInfo
• SplitDimension() : DecisionStump< MatType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitHistory() : XTreeAuxiliaryInformation< TreeType >
• SplitHistoryStruct : XTreeAuxiliaryInformation< TreeType > , XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
• SplitIfBetter() : AllCategoricalSplit< FitnessFunction > , BestBinaryNumericSplit< FitnessFunction >
• SplitInfo() : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , BinaryNumericSplit< FitnessFunction, ObservationType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo , Octree< MetricType, StatisticType, MatType >::SplitType::SplitInfo
• SplitLeafNode() : RTreeSplit , XTreeSplit , RStarTreeSplit , HilbertRTreeSplit< splitOrder > , RPlusTreeSplit< SplitPolicyType, SweepType >
• SplitNode() : RPTreeMeanSplit< BoundType, MatType > , MeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >
• SplitNonLeafNode() : HilbertRTreeSplit< splitOrder > , RStarTreeSplit , RPlusTreeSplit< SplitPolicyType, SweepType > , RTreeSplit , XTreeSplit
• SplitPointIndex() : CosineTree
• SplitPolicy : RPlusTreeSplit< SplitPolicyType, SweepType >
• SplitRequired : RPlusPlusTreeSplitPolicy , RPlusTreeSplitPolicy
• SplitSpace() : MidpointSpaceSplit< MetricType, MatType > , MeanSpaceSplit< MetricType, MatType >
• SplitType : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• splitVal : MidpointSplit< BoundType, MatType >::SplitInfo , RPTreeMaxSplit< BoundType, MatType >::SplitInfo , RPTreeMeanSplit< BoundType, MatType >::SplitInfo , MeanSplit< BoundType, MatType >::SplitInfo
• SplitValue() : DTree< MatType, TagType >
• Start() : DTree< MatType, TagType > , Timer
• StartTimer() : Timers
• Stat() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , ExampleTree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• State() : ContinuousMountainCar::State , Acrobat::State , ContinuousMountainCar::State , Pendulum::State , MountainCar::State , CartPole::State , MountainCar::State , Pendulum::State , CartPole::State , Acrobat::State
• StateType : OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , RandomReplay< EnvironmentType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• StaticLowerBoundMovement() : DualTreeKMeansStatistic
• StaticPruned() : DualTreeKMeansStatistic
• StaticSerialize : HasSerializeFunction< T >
• StaticUpperBoundMovement() : DualTreeKMeansStatistic
• StatType : DTree< MatType, TagType >
• Step() : OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• StepLimit() : TrainingConfig
• StepSize() : RMSProp , AdaDelta , BigBatchSGD< UpdatePolicyType > , SPALeRASGD< DecayPolicyType > , AdamType< UpdateRule > , IQN , SnapshotSGDR< UpdatePolicyType > , SARAHType< UpdatePolicyType > , GradientDescent , ExponentialBackoff , SCD< DescentPolicyType > , SMORMS3 , SARAHType< UpdatePolicyType > , AdamType< UpdateRule > , SnapshotSGDR< UpdatePolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , SGDR< UpdatePolicyType > , AdaGrad , ConstantStep , SGDR< UpdatePolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , CyclicalDecay , SCD< DescentPolicyType > , SnapshotEnsembles , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , AdaGrad , TrainingConfig , RMSProp , AdaDelta , CyclicalDecay , TrainingConfig , SnapshotEnsembles , IQN , SGD< UpdatePolicyType, DecayPolicyType >
• Stop() : Timer
• stop : MountainCar
• StopAllTimers() : Timers
• StopTimer() : Timers
• Store() : RandomReplay< EnvironmentType >
• StoreSettings() : CLI
• Strategy() : Imputer< T, MapperType, StrategyType >
• StyblinskiTangFunction() : StyblinskiTangFunction
• SubtreeLeaves() : DTree< MatType, TagType >
• SubtreeLeavesLogNegError() : DTree< MatType, TagType >
• SuccessProbability() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , RAUtil
• SupportsWeights : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• SVDBatchLearning() : SVDBatchLearning
• SVDCompleteIncrementalLearning() : SVDCompleteIncrementalLearning< arma::sp_mat > , SVDCompleteIncrementalLearning< MatType >
• SVDIncompleteIncrementalLearning() : SVDIncompleteIncrementalLearning
• SVDWrapper() : SVDWrapper< Factorizer >
• SVRGType() : SVRGType< UpdatePolicyType, DecayPolicyType >
• SweepLeafNode() : MinimalCoverageSweep< SplitPolicy > , MinimalSplitsNumberSweep< SplitPolicy >
• SweepNonLeafNode() : MinimalCoverageSweep< SplitPolicy > , MinimalSplitsNumberSweep< SplitPolicy >
• Sweeps() : Radical