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

- s -

• sameSet : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Sample() : BernoulliDistribution< DataType > , Acrobot , ContinuousMountainCar , GreedyPolicy< EnvironmentType > , RandomReplay< EnvironmentType > , MountainCar , CartPole , MountainCar , Pendulum , Acrobot , CartPole , Pendulum , RewardClipping< EnvironmentType > , ContinuousMountainCar , RewardClipping< EnvironmentType > , AggregatedPolicy< PolicyType >
• SampleAtLeaves() : RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• SampleHidden() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleInitialization() : SampleInitialization
• SampleSlab() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleSpike() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleVisible() : RBM< InitializationRuleType, DataType, PolicyType >
• Samplings() : RefinedStart
• SaveOutputParameterVisitor() : SaveOutputParameterVisitor
• Scale() : LaplaceDistribution , HyperbolicTangentKernel , ColumnsToBlocks , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• ScaleData() : PCA< DecompositionPolicy >
• Score() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , KDERules< MetricType, KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , PellegMooreKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• score : QueueFrame< TreeType, TraversalInfoType >
• Scores() : KDERules< MetricType, KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , 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 >
• Sdp() : MatrixCompletion
• Search() : DrusillaSelect< MatType > , QDAFN< MatType > , CosineSearch , LMetricSearch< TPower > , PearsonSearch , 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 >
• SecondBound() : NeighborSearchStat< SortPolicy >
• SecondHashTable() : LSHSearch< SortPolicy >
• SecondHashWeights() : LSHSearch< SortPolicy >
• seeAlso : ProgramDoc
• Select() : Select< InputDataType, OutputDataType > , OrderedPointSelection , RandomPointSelection , KMeansSelection< ClusteringType, maxIterations > , OrderedSelection , RandomSelection
• SelfKernel() : FastMKSStat
• Sequential() : Sequential< InputDataType, OutputDataType, residual, CustomLayers >
• serialize() : EpanechnikovKernel , HMMModel , BinaryNumericSplit< FitnessFunction, ObservationType > , ExampleKernel , BinaryNumericSplitInfo< ObservationType > , CategoricalSplitInfo , GaussianKernel , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HyperbolicTangentKernel , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , HoeffdingTreeModel , LaplacianKernel , NumericSplitInfo< ObservationType > , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , LinearKernel , KDEModel , KDEStat , PolynomialKernel , AllowEmptyClusters , KillEmptyClusters , SphericalKernel , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , MaxVarianceNewCluster , TriangularKernel , RandomPartition , RefinedStart , RangeType< T > , LARS , LinearRegression , IPMetric< KernelType > , LinearSVM< MatType > , LocalCoordinateCoding , LMetric< TPower, TTakeRoot > , LogisticRegression< MatType > , LSHSearch< SortPolicy > , MahalanobisDistance< TakeRoot > , NaiveBayesClassifier< ModelMatType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , BallBound< MetricType, VecType > , NeighborSearchStat< SortPolicy > , NSModel< SortPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , RangeSearch< MetricType, MatType, TreeType > , RangeSearchStat , HollowBallBound< TMetricType, ElemType > , RSModel , RAModel< SortPolicy > , HRectBound< MetricType, ElemType > , RAQueryStat< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , Octree< MetricType, StatisticType, MatType > , SoftmaxRegression , SparseCoding , 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 , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , BernoulliDistribution< DataType > , 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 > , CReLU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Concatenate< 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 > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , Subview< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , DrusillaSelect< MatType > , QDAFN< MatType > , CFType< DecompositionPolicy, NormalizationType > , CFModel , BatchSVDPolicy , BiasSVDPolicy , NMFPolicy , RandomizedSVDPolicy , RegSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDPlusPlusPolicy , CombinedNormalization< NormalizationTypes > , ItemMeanNormalization , NoNormalization , HMM< Distribution > , PositiveDefiniteConstraint , NoConstraint , OverallMeanNormalization , EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution > , EigenvalueRatioConstraint , DatasetMapper< PolicyType, InputType > , UserMeanNormalization , FastMKSStat , FastMKSModel , FastMKS< KernelType, MatType, TreeType > , ZScoreNormalization , DiagonalGaussianDistribution , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DiscreteDistribution , DTree< MatType, TagType > , GaussianDistribution , LaplaceDistribution , DiagonalConstraint , DiagonalGMM , RegressionDistribution , CauchyKernel , GMM , CosineDistance
• SetCentroid() : KDEStat
• SetDimensionality() : DatasetMapper< PolicyType, InputType >
• SetInputHeightVisitor() : SetInputHeightVisitor
• SetInputWidthVisitor() : SetInputWidthVisitor
• SetPassed() : CLI
• shortDocumentation : ProgramDoc
• ShrinkBoundForBound() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ShrinkBoundForPoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Shuffle() : KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RBM< InitializationRuleType, DataType, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , BiasSVDFunction< MatType > , LinearSVMFunction< MatType > , LMNNFunction< MetricType > , SoftmaxErrorFunction< MetricType > , RegularizedSVDFunction< MatType > , SoftmaxRegressionFunction , SVDPlusPlusFunction< MatType > , LogisticRegressionFunction< MatType >
• Sigmoid() : SparseAutoencoder , SparseAutoencoderFunction
• SigmoidCrossEntropyError() : SigmoidCrossEntropyError< InputDataType, OutputDataType >
• SimilarityInterpolation() : SimilarityInterpolation
• SimpleCV() : SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >
• SimpleResidueTermination() : SimpleResidueTermination
• SimpleToleranceTermination() : SimpleToleranceTermination< MatType >
• SingleMode() : RASearch< SortPolicy, MetricType, MatType, TreeType > , RSModel , FastMKSModel , RangeSearch< MetricType, MatType, TreeType > , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , RangeSearch< MetricType, MatType, TreeType > , RSModel , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , FastMKS< KernelType, MatType, TreeType >
• SingleSampleLimit() : RASearch< SortPolicy, MetricType, MatType, TreeType > , RAModel< SortPolicy >
• SingleTreeTraverser() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType >
• size : Pendulum::Action , Acrobot , CartPole , ContinuousMountainCar::Action , MountainCar
• Size() : RandomReplay< EnvironmentType >
• SlabMean() : RBM< InitializationRuleType, DataType, PolicyType >
• SlabPenalty() : RBM< InitializationRuleType, DataType, PolicyType >
• Smooth() : DiceLoss< InputDataType, OutputDataType > , HMMRegression , DiceLoss< InputDataType, OutputDataType > , HMM< Distribution >
• SoftDelete() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• SoftmaxErrorFunction() : SoftmaxErrorFunction< MetricType >
• SoftmaxRegression() : SoftmaxRegression
• SoftmaxRegressionFunction() : SoftmaxRegressionFunction
• SortTask() : SortTask
• SparseAutoencoder() : SparseAutoencoder
• SparseAutoencoderFunction() : SparseAutoencoderFunction
• SparseCoding() : SparseCoding
• SPHERICAL_KERNEL : KDEModel
• SphericalKernel() : SphericalKernel
• SpikeBias() : RBM< InitializationRuleType, DataType, PolicyType >
• SpikeMean() : RBM< InitializationRuleType, DataType, PolicyType >
• 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() : HoeffdingCategoricalSplit< FitnessFunction > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , DecisionStump< MatType > , BinaryNumericSplit< FitnessFunction, ObservationType > , DecisionStump< MatType > , HoeffdingNumericSplit< FitnessFunction, ObservationType >
• SplitAuxiliaryInfo() : NoAuxiliaryInformation< TreeType > , RPlusPlusTreeAuxiliaryInformation< TreeType >
• SplitCheck() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitDim() : DTree< MatType, TagType >
• splitDimension : MeanSplit< BoundType, MatType >::SplitInfo , MidpointSplit< BoundType, MatType >::SplitInfo
• SplitDimension() : DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SplitHistory() : XTreeAuxiliaryInformation< TreeType >
• SplitHistoryStruct : XTreeAuxiliaryInformation< TreeType > , XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
• SplitIfBetter() : BestBinaryNumericSplit< FitnessFunction > , AllCategoricalSplit< FitnessFunction >
• SplitInfo() : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo , HoeffdingCategoricalSplit< FitnessFunction > , Octree< MetricType, StatisticType, MatType >::SplitType::SplitInfo , VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo , HoeffdingNumericSplit< FitnessFunction, ObservationType > , BinaryNumericSplit< FitnessFunction, ObservationType >
• SplitLeafNode() : RPlusTreeSplit< SplitPolicyType, SweepType > , HilbertRTreeSplit< splitOrder > , RTreeSplit , XTreeSplit , RStarTreeSplit
• SplitNode() : MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , MeanSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples > , RPTreeMeanSplit< BoundType, MatType >
• SplitNonLeafNode() : RStarTreeSplit , XTreeSplit , RPlusTreeSplit< SplitPolicyType, SweepType > , RTreeSplit , HilbertRTreeSplit< splitOrder >
• SplitPointIndex() : CosineTree
• SplitPolicy : RPlusTreeSplit< SplitPolicyType, SweepType >
• SplitRequired : RPlusTreeSplitPolicy , RPlusPlusTreeSplitPolicy
• SplitSpace() : MidpointSpaceSplit< MetricType, MatType > , MeanSpaceSplit< MetricType, MatType >
• SplitType : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• splitVal : RPTreeMaxSplit< BoundType, MatType >::SplitInfo , MidpointSplit< BoundType, MatType >::SplitInfo , RPTreeMeanSplit< BoundType, MatType >::SplitInfo , MeanSplit< BoundType, MatType >::SplitInfo
• SplitValue() : DTree< MatType, TagType >
• Start() : Timer , DTree< MatType, TagType >
• StartTimer() : Timers
• Stat() : ExampleTree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , ExampleTree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• State() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , Acrobot::State , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , CartPole::State , MountainCar::State , ContinuousMountainCar::State , Pendulum::State , MountainCar::State , ContinuousMountainCar::State , RewardClipping< EnvironmentType >
• StateType : OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , RandomReplay< EnvironmentType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• StaticLowerBoundMovement() : DualTreeKMeansStatistic
• StaticPruned() : DualTreeKMeansStatistic
• StaticSerialize : HasSerializeFunction< T >
• StaticUpperBoundMovement() : DualTreeKMeansStatistic
• StatType : DTree< MatType, TagType >
• Stddev() : ZScoreNormalization
• Step() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• StepLimit() : TrainingConfig
• StepSize() : TrainingConfig
• stop : MountainCar
• Stop() : Timer
• StopAllTimers() : Timers
• StopTimer() : Timers
• Store() : RandomReplay< EnvironmentType >
• StoreSettings() : CLI
• Strategy() : Imputer< T, MapperType, StrategyType >
• SubtreeLeaves() : DTree< MatType, TagType >
• SubtreeLeavesLogNegError() : DTree< MatType, TagType >
• Subview() : Subview< InputDataType, OutputDataType >
• SuccessProbability() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , RAUtil , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• SupportsWeights : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• SVDBatchLearning() : SVDBatchLearning
• SVDCompleteIncrementalLearning() : SVDCompleteIncrementalLearning< MatType > , SVDCompleteIncrementalLearning< arma::sp_mat >
• SVDIncompleteIncrementalLearning() : SVDIncompleteIncrementalLearning
• SVDPlusPlus() : SVDPlusPlus< OptimizerType >
• SVDPlusPlusFunction() : SVDPlusPlusFunction< MatType >
• SVDPlusPlusPolicy() : SVDPlusPlusPolicy
• SVDWrapper() : SVDWrapper< Factorizer >
• SweepLeafNode() : MinimalCoverageSweep< SplitPolicy > , MinimalSplitsNumberSweep< SplitPolicy >
• SweepNonLeafNode() : MinimalCoverageSweep< SplitPolicy > , MinimalSplitsNumberSweep< SplitPolicy >
• Sweeps() : Radical