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• Sample() : BernoulliDistribution< DataType > , Acrobot , AggregatedPolicy< PolicyType > , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar , DoublePoleCart , GreedyPolicy< EnvironmentType > , MountainCar , Pendulum , PrioritizedReplay< EnvironmentType > , RandomReplay< EnvironmentType > , RewardClipping< EnvironmentType >
• SampleAtLeaves() : RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• SampleHidden() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleInitialization() : SampleInitialization
• SampleProportional() : PrioritizedReplay< EnvironmentType >
• SampleSlab() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleSpike() : RBM< InitializationRuleType, DataType, PolicyType >
• SampleVisible() : RBM< InitializationRuleType, DataType, PolicyType >
• Samplings() : RefinedStart
• SaveOutputParameterVisitor() : SaveOutputParameterVisitor
• Scale() : MaxAbsScaler , MeanNormalization , MinMaxScaler , LaplaceDistribution , HyperbolicTangentKernel , ColumnsToBlocks , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• ScaleData() : PCA< DecompositionPolicy >
• ScaleMax() : MinMaxScaler
• ScaleMin() : MinMaxScaler
• ScalerType() : ScalingModel
• ScalingModel() : ScalingModel
• Score() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , KDECleanRules< TreeType > , KDERules< MetricType, 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 > , 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 >
• Sdp() : MatrixCompletion
• Search() : CosineSearch , LMetricSearch< TPower > , PearsonSearch , 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 >
• SecondBound() : NeighborSearchStat< SortPolicy >
• SecondHashTable() : LSHSearch< SortPolicy >
• SecondHashWeights() : LSHSearch< SortPolicy >
• Select() : Select< InputDataType, OutputDataType > , OrderedPointSelection , RandomPointSelection , KMeansSelection< ClusteringType, maxIterations > , OrderedSelection , RandomSelection
• SelfKernel() : FastMKSStat
• Sequential() : Sequential< InputDataType, OutputDataType, Residual, 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 > , BernoulliDistribution< DataType > , BilinearInterpolation< InputDataType, OutputDataType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Concatenate< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Join< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , LRegularizer< TPower > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , OrthogonalRegularizer , Padding< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, Residual, CustomLayers > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , BatchSVDPolicy , BiasSVDPolicy , CFModel , CFType< DecompositionPolicy, NormalizationType > , CombinedNormalization< NormalizationTypes > , ItemMeanNormalization , NMFPolicy , NoNormalization , OverallMeanNormalization , RandomizedSVDPolicy , RegSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDPlusPlusPolicy , UserMeanNormalization , ZScoreNormalization , DatasetMapper< PolicyType, InputType > , MaxAbsScaler , MeanNormalization , MinMaxScaler , PCAWhitening , ScalingModel , StandardScaler , ZCAWhitening , DecisionStump< MatType > , DTree< MatType, TagType > , DiagonalGaussianDistribution , DiscreteDistribution , GaussianDistribution , LaplaceDistribution , RegressionDistribution , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , FastMKSStat , DiagonalConstraint , DiagonalGMM , EigenvalueRatioConstraint , EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution > , GMM , NoConstraint , PositiveDefiniteConstraint , HMM< Distribution > , HMMModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel , KDEStat , CauchyKernel , 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 , LinearSVM< MatType > , 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
• Set() : SumTree< T >
• SetDimensionality() : DatasetMapper< PolicyType, InputType >
• SetInputHeightVisitor() : SetInputHeightVisitor
• SetInputWidthVisitor() : SetInputWidthVisitor
• SetPassed() : CLI
• ShrinkBoundForBound() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ShrinkBoundForPoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Shuffle() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RBM< InitializationRuleType, DataType, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , LMNNFunction< MetricType > , SoftmaxErrorFunction< MetricType > , LogisticRegressionFunction< MatType > , SoftmaxRegressionFunction , BiasSVDFunction< MatType > , RegularizedSVDFunction< MatType > , SVDPlusPlusFunction< MatType > , LinearSVMFunction< MatType >
• Sigmoid() : SparseAutoencoder , SparseAutoencoderFunction
• SigmoidCrossEntropyError() : SigmoidCrossEntropyError< InputDataType, OutputDataType >
• SimilarityInterpolation() : SimilarityInterpolation
• 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() : PrioritizedReplay< EnvironmentType > , RandomReplay< EnvironmentType >
• SlabMean() : RBM< InitializationRuleType, DataType, PolicyType >
• SlabPenalty() : RBM< InitializationRuleType, DataType, PolicyType >
• Smooth() : DiceLoss< InputDataType, OutputDataType > , HMM< Distribution > , HMMRegression
• SoftDelete() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• SoftmaxErrorFunction() : SoftmaxErrorFunction< MetricType >
• SoftmaxRegression() : SoftmaxRegression
• SoftmaxRegressionFunction() : SoftmaxRegressionFunction
• SortTask() : SortTask
• SparseAutoencoder() : SparseAutoencoder
• SparseAutoencoderFunction() : SparseAutoencoderFunction
• SparseCoding() : SparseCoding
• SphericalKernel() : SphericalKernel
• SpikeBias() : RBM< InitializationRuleType, DataType, PolicyType >
• SpikeMean() : RBM< InitializationRuleType, DataType, PolicyType >
• 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 > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , 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() : Acrobot::State , CartPole::State , ContinuousDoublePoleCart::State , ContinuousMountainCar::State , DoublePoleCart::State , MountainCar::State , Pendulum::State , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• StaticLowerBoundMovement() : DualTreeKMeansStatistic
• StaticPruned() : DualTreeKMeansStatistic
• StaticUpperBoundMovement() : DualTreeKMeansStatistic
• Stddev() : ZScoreNormalization
• 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() : TrainingConfig
• StepsPerformed() : Acrobot , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar , DoublePoleCart , MountainCar , Pendulum
• Stop() : Timer
• StopAllTimers() : Timers
• StopTimer() : Timers
• Store() : PrioritizedReplay< EnvironmentType > , RandomReplay< EnvironmentType >
• StoreSettings() : CLI
• Strategy() : Imputer< T, MapperType, StrategyType >
• SubtreeLeaves() : DTree< MatType, TagType >
• SubtreeLeavesLogNegError() : DTree< MatType, TagType >
• Subview() : Subview< InputDataType, OutputDataType >
• SuccessProbability() : RAUtil , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• Sum() : SumTree< T >
• SumHelper() : SumTree< T >
• SumTree() : SumTree< T >
• 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