- s -

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