Here is a list of all class members with links to the classes they belong to:
- s -
- SAC() : SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- sameSet : NeighborSearchRules< SortPolicy, MetricType, TreeType >
- Sample() : BernoulliDistribution< DataType >, NormalDistribution< DataType >, Acrobot, AggregatedPolicy< PolicyType >, CartPole, ContinuousActionEnv, ContinuousDoublePoleCart, ContinuousMountainCar, DiscreteActionEnv, 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 >
- SamplesScore() : SilhouetteScore
- SampleVisible() : RBM< InitializationRuleType, DataType, PolicyType >
- Samplings() : RefinedStart
- save() : HMM< Distribution >
- SaveOutputParameterVisitor() : SaveOutputParameterVisitor
- Scalar() : MultiplyConstant< InputDataType, OutputDataType >
- Scale() : Glimpse< InputDataType, OutputDataType >, VRClassReward< InputDataType, OutputDataType >, MaxAbsScaler, MeanNormalization, MinMaxScaler, LaplaceDistribution, HyperbolicTangentKernel, ColumnsToBlocks, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
- ScaleData() : PCA< DecompositionPolicy >
- ScaleMax() : MinMaxScaler
- ScaleMin() : MinMaxScaler
- ScalerType() : ScalingModel
- ScalerTypes : 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 >
- score : QueueFrame< TreeType, TraversalInfoType >
- 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 >
- scores : NeighborSearchRules< SortPolicy, MetricType, TreeType >
- Scores() : 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, MatType >, 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, MatType >
- SecondHashWeights() : LSHSearch< SortPolicy, MatType >
- seeAlso : BindingDetails
- SeeAlso() : SeeAlso
- SeeAlsoWrapper() : SeeAlsoWrapper
- Select() : Select< InputDataType, OutputDataType >, OrderedPointSelection, RandomPointSelection, KMeansSelection< ClusteringType, maxIterations >, OrderedSelection, RandomSelection
- SelectAction() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >, SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- SelfKernel() : FastMKSStat
- Sequential() : Sequential< InputDataType, OutputDataType, Residual, CustomLayers >
- serialize() : AdaBoost< WeakLearnerType, MatType >, AdaBoostModel, AverageInitialization, GivenInitialization, NMFALSUpdate, NMFMultiplicativeDistanceUpdate, NMFMultiplicativeDivergenceUpdate, RandomAcolInitialization< columnsToAverage >, RandomInitialization, SVDBatchLearning, AdaptiveMaxPooling< InputDataType, OutputDataType >, AdaptiveMeanPooling< InputDataType, OutputDataType >, 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 >, CELU< InputDataType, OutputDataType >, Concat< InputDataType, OutputDataType, CustomLayers >, Concatenate< InputDataType, OutputDataType >, ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >, Constant< InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, CosineEmbeddingLoss< 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 >, HardShrink< InputDataType, OutputDataType >, HardTanH< InputDataType, OutputDataType >, Highway< InputDataType, OutputDataType, CustomLayers >, HingeEmbeddingLoss< InputDataType, OutputDataType >, HuberLoss< InputDataType, OutputDataType >, Join< InputDataType, OutputDataType >, KLDivergence< InputDataType, OutputDataType >, L1Loss< InputDataType, OutputDataType >, LayerNorm< InputDataType, OutputDataType >, LeakyReLU< InputDataType, OutputDataType >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, LogCoshLoss< InputDataType, OutputDataType >, LogSoftMax< InputDataType, OutputDataType >, Lookup< InputDataType, OutputDataType >, LRegularizer< TPower >, LSTM< InputDataType, OutputDataType >, MarginRankingLoss< InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanAbsolutePercentageError< InputDataType, OutputDataType >, MeanBiasError< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, MeanSquaredError< InputDataType, OutputDataType >, MeanSquaredLogarithmicError< InputDataType, OutputDataType >, MiniBatchDiscrimination< InputDataType, OutputDataType >, MultiheadAttention< InputDataType, OutputDataType, RegularizerType >, MultiplyConstant< InputDataType, OutputDataType >, MultiplyMerge< InputDataType, OutputDataType, CustomLayers >, NegativeLogLikelihood< InputDataType, OutputDataType >, NoisyLinear< InputDataType, OutputDataType >, NormalDistribution< DataType >, OrthogonalRegularizer, Padding< InputDataType, OutputDataType >, PoissonNLLLoss< InputDataType, OutputDataType >, PositionalEncoding< InputDataType, OutputDataType >, PReLU< InputDataType, OutputDataType >, RBF< InputDataType, OutputDataType, Activation >, 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 >, SoftMarginLoss< InputDataType, OutputDataType >, Softmax< InputDataType, OutputDataType >, Softmin< InputDataType, OutputDataType >, SoftShrink< InputDataType, OutputDataType >, SpatialDropout< 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, BagOfWordsEncodingPolicy, DatasetMapper< PolicyType, InputType >, DictionaryEncodingPolicy, ImageInfo, MaxAbsScaler, MeanNormalization, MinMaxScaler, PCAWhitening, ScalingModel, StandardScaler, StringEncoding< EncodingPolicyType, DictionaryType >, StringEncodingDictionary< Token >, StringEncodingDictionary< boost::string_view >, StringEncodingDictionary< int >, TfIdfEncodingPolicy, 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, 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 >, BLEU< ElemType, PrecisionType >, IoU< UseCoordinates >, IPMetric< KernelType >, LMetric< TPower, TTakeRoot >, MahalanobisDistance< TakeRoot >, NMS< UseCoordinates >, NaiveBayesClassifier< ModelMatType >, DrusillaSelect< MatType >, LSHSearch< SortPolicy, MatType >, 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, BayesianLinearRegression, 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() : IO
- SetState() : Pendulum::State
- shortDescription : BindingDetails
- ShortDescription() : ShortDescription
- ShortDescriptionWrapper() : ShortDescriptionWrapper
- 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 >
- Similarity() : CosineEmbeddingLoss< InputDataType, OutputDataType >
- SimilarityInterpolation() : SimilarityInterpolation
- SimpleCV() : SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >
- SimpleDQN() : SimpleDQN< OutputLayerType, InitType, NetworkType >
- 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 >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- Size() : SpatialDropout< InputDataType, OutputDataType >, StringEncodingDictionary< Token >, StringEncodingDictionary< boost::string_view >, StringEncodingDictionary< int >
- size : Acrobot::Action, CartPole::Action, ContinuousActionEnv::Action, ContinuousDoublePoleCart::Action, ContinuousMountainCar::Action, DiscreteActionEnv::Action, DoublePoleCart::Action, MountainCar::Action, Pendulum::Action
- Size() : PrioritizedReplay< EnvironmentType >, RandomReplay< EnvironmentType >
- SizeAverage() : VRClassReward< InputDataType, OutputDataType >
- SlabMean() : RBM< InitializationRuleType, DataType, PolicyType >
- SlabPenalty() : RBM< InitializationRuleType, DataType, PolicyType >
- Smooth() : DiceLoss< InputDataType, OutputDataType >, HMM< Distribution >, HMMRegression
- SmoothIdf() : TfIdfEncodingPolicy
- SoftDelete() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- SoftMarginLoss() : SoftMarginLoss< InputDataType, OutputDataType >
- Softmax() : Softmax< InputDataType, OutputDataType >
- SoftmaxErrorFunction() : SoftmaxErrorFunction< MetricType >
- SoftmaxRegression() : SoftmaxRegression
- SoftmaxRegressionFunction() : SoftmaxRegressionFunction
- Softmin() : Softmin< InputDataType, OutputDataType >
- SoftShrink() : SoftShrink< InputDataType, OutputDataType >
- SoftUpdate() : SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- SortTask() : SortTask
- SparseAutoencoder() : SparseAutoencoder
- SparseAutoencoderFunction() : SparseAutoencoderFunction
- SparseCoding() : SparseCoding
- SpatialDropout() : SpatialDropout< InputDataType, OutputDataType >
- 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() : DecisionStump< MatType >, BinaryNumericSplit< FitnessFunction, ObservationType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, HoeffdingCategoricalSplit< FitnessFunction >, HoeffdingNumericSplit< FitnessFunction, ObservationType >
- SplitAuxiliaryInfo() : NoAuxiliaryInformation< TreeType >, RPlusPlusTreeAuxiliaryInformation< TreeType >
- SplitByAnyOf() : SplitByAnyOf
- SplitCheck() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- SplitDim() : DTree< MatType, TagType >
- SplitDimension() : DecisionStump< MatType >, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- splitDimension : MeanSplit< BoundType, MatType >::SplitInfo, MidpointSplit< BoundType, MatType >::SplitInfo
- SplitHistory() : XTreeAuxiliaryInformation< TreeType >
- SplitHistoryStruct : XTreeAuxiliaryInformation< TreeType >, XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct
- SplitIfBetter() : AllCategoricalSplit< FitnessFunction >, BestBinaryNumericSplit< FitnessFunction >
- SplitInfo : BinaryNumericSplit< FitnessFunction, ObservationType >, HoeffdingCategoricalSplit< FitnessFunction >, HoeffdingNumericSplit< FitnessFunction, ObservationType >, 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
- SplitPolicy : RPlusTreeSplit< SplitPolicyType, SweepType >
- SplitRequired : RPlusPlusTreeSplitPolicy, RPlusTreeSplitPolicy
- SplitSpace() : MeanSpaceSplit< MetricType, MatType >, MidpointSpaceSplit< MetricType, MatType >
- SplitType : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- splitVal : MeanSplit< BoundType, MatType >::SplitInfo, MidpointSplit< BoundType, MatType >::SplitInfo, RPTreeMaxSplit< BoundType, MatType >::SplitInfo, RPTreeMeanSplit< BoundType, MatType >::SplitInfo
- SplitValue() : DTree< MatType, TagType >
- SrcSeqLen() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
- STANDARD_SCALER : ScalingModel
- StandardDeviation() : NormalDistribution< DataType >, ReinforceNormal< InputDataType, OutputDataType >
- 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, ContinuousActionEnv::State, ContinuousDoublePoleCart::State, ContinuousMountainCar::State, DiscreteActionEnv::State, DoublePoleCart::State, MountainCar::State, Pendulum::State
- state : PrioritizedReplay< EnvironmentType >::Transition
- State() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
- state : RandomReplay< EnvironmentType >::Transition
- State : RewardClipping< EnvironmentType >, SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- StateType : NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, PrioritizedReplay< EnvironmentType >, QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >, RandomReplay< EnvironmentType >, SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType >
- StaticLowerBoundMovement() : DualTreeKMeansStatistic
- StaticPruned() : DualTreeKMeansStatistic
- StaticSerialize : HasSerializeFunction< T >
- StaticUpperBoundMovement() : DualTreeKMeansStatistic
- StatType : DTree< MatType, TagType >
- Stddev() : ZScoreNormalization
- Step() : NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
- StepLimit() : TrainingConfig
- StepSize() : TrainingConfig
- StepsPerformed() : Acrobot, CartPole, ContinuousDoublePoleCart, ContinuousMountainCar, DoublePoleCart, MountainCar, Pendulum
- Stochastic() : Reparametrization< InputDataType, OutputDataType >
- stop : MountainCar::Action
- Stop() : Timer
- StopAllTimers() : Timers
- StopTimer() : Timers
- Store() : PrioritizedReplay< EnvironmentType >, RandomReplay< EnvironmentType >
- StoreSettings() : IO
- Strategy() : Imputer< T, MapperType, StrategyType >
- StrideHeight() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- StrideWidth() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- StringEncoding() : StringEncoding< EncodingPolicyType, DictionaryType >
- StringEncodingDictionary() : StringEncodingDictionary< boost::string_view >, StringEncodingDictionary< int >
- 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 >
- 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