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

- r -

• R_PLUS_PLUS_TREE : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• R_PLUS_TREE : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• R_STAR_TREE : RSModel , RAModel< SortPolicy > , NSModel< SortPolicy >
• R_TREE : KDEModel , NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• Radical() : Radical
• Radius() : BallBound< MetricType, VecType > , MeanShift< UseKernel, KernelType, MatType > , BallBound< MetricType, VecType >
• RAModel() : RAModel< SortPolicy >
• Random() : DiagonalGaussianDistribution , DiscreteDistribution , GammaDistribution , GaussianDistribution , LaplaceDistribution , DiagonalGMM , GMM
• RandomAcolInitialization() : RandomAcolInitialization< columnsToAverage >
• RandomBasis() : RSModel , RAModel< SortPolicy > , NSModel< SortPolicy >
• RandomDimensionSelect() : RandomDimensionSelect
• RandomForest() : RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType >
• RandomInitialization() : RandomInitialization
• RandomInitialize() : InitHMMModel
• RandomizedBlockKrylovSVD() : RandomizedBlockKrylovSVD
• RandomizedBlockKrylovSVDPolicy() : RandomizedBlockKrylovSVDPolicy
• RandomizedSVD() : RandomizedSVD
• RandomizedSVDPolicy() : RandomizedSVDPolicy
• RandomPartition() : RandomPartition
• RandomReplay() : RandomReplay< EnvironmentType >
• Range() : LMNN< MetricType, OptimizerType > , LMNNFunction< MetricType > , GiniGain , InformationGain , GiniImpurity , HoeffdingInformationGain
• RangeDistance() : BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• RangeSearch() : RangeSearch< MetricType, MatType, TreeType >
• RangeSearchRules() : RangeSearchRules< MetricType, TreeType >
• RangeSearchStat() : RangeSearchStat
• RangeType() : RangeType< T >
• Rank() : BiasSVDFunction< MatType > , CFType< DecompositionPolicy, NormalizationType > , RegularizedSVDFunction< MatType > , SVDPlusPlusFunction< MatType >
• RAQueryStat() : RAQueryStat< SortPolicy >
• RASearch() : RASearch< SortPolicy, MetricType, MatType, TreeType >
• RASearchRules() : RASearchRules< SortPolicy, MetricType, TreeType >
• Ratio() : BLEU< ElemType, PrecisionType > , AlphaDropout< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , SpatialDropout< InputDataType, OutputDataType > , DTree< MatType, TagType >
• RATypeT : BiSearchVisitor< SortPolicy > , TrainVisitor< SortPolicy >
• RAW_COUNT : TfIdfEncodingPolicy
• RBF() : RBF< InputDataType, OutputDataType, Activation >
• RBM() : RBM< InitializationRuleType, DataType, PolicyType >
• RearrangesDataset : TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMeanSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::BallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::HollowBallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::CellBound, SplitType > > , TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > > , TreeTraits< Octree< MetricType, StatisticType, MatType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, RPlusTreeSplit< SplitPolicyType, SweepType >, DescentType, AuxiliaryInformationType > > , TreeTraits< SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > > , TreeTraits< TreeType > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMaxSplit > >
• Recall() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• RecommendationVisitor() : RecommendationVisitor< NeighborSearchPolicy, InterpolationPolicy >
• ReconstructionLoss() : ReconstructionLoss< InputDataType, OutputDataType, DistType >
• Recover() : MatrixCompletion
• RectangleTree() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Recurrent() : Recurrent< InputDataType, OutputDataType, CustomLayers >
• RecurrentAttention() : RecurrentAttention< InputDataType, OutputDataType >
• Reduction() : SoftMarginLoss< InputDataType, OutputDataType >
• ReferenceLength() : BLEU< ElemType, PrecisionType >
• referenceNode : QueueFrame< TreeType, TraversalInfoType >
• ReferenceSet() : LSHSearch< SortPolicy, MatType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , RangeSearch< MetricType, MatType, TreeType > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• referenceSet : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• ReferenceTree() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , RangeSearch< MetricType, MatType, TreeType >
• RefinedStart() : RefinedStart
• RegressionDistribution() : RegressionDistribution
• RegressionInterpolation() : RegressionInterpolation
• RegSVDPolicy() : RegSVDPolicy
• Regularization() : LMNN< MetricType, OptimizerType > , LMNNFunction< MetricType >
• RegularizedSVD() : RegularizedSVD< OptimizerType >
• RegularizedSVDFunction() : RegularizedSVDFunction< MatType >
• ReinforceNormal() : ReinforceNormal< InputDataType, OutputDataType >
• ReinsertPoints() : RStarTreeSplit
• RelativeDelta() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• RelativeError() : KDEModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel
• Relax() : FurthestNS , NearestNS
• relError : KDEDefaultParams
• RelErrorVisitor() : RelErrorVisitor
• RemoveNode() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Reparametrization() : Reparametrization< InputDataType, OutputDataType >
• Replicates() : Radical
• required : ParamData
• Rescore() : DualTreeKMeansRules< MetricType, TreeType > , KDERules< MetricType, KernelType, TreeType > , DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , KDERules< MetricType, KernelType, TreeType > , KDECleanRules< TreeType > , DualTreeKMeansRules< MetricType, TreeType > , PellegMooreKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• Reset() : NeighborSearchStat< SortPolicy > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , VirtualBatchNorm< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , RBM< InitializationRuleType, DataType, PolicyType > , LSTM< InputDataType, OutputDataType > , DictionaryEncodingPolicy , TfIdfEncodingPolicy , Timers , Linear3D< InputDataType, OutputDataType, RegularizerType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , BatchNorm< InputDataType, OutputDataType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Linear< InputDataType, OutputDataType, RegularizerType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , RBM< InitializationRuleType, DataType, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , BagOfWordsEncodingPolicy , MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
• ResetAll() : Timer
• ResetCell() : GRU< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType >
• ResetCellVisitor() : ResetCellVisitor
• ResetData() : GAN< Model, InitializationRuleType, Noise, PolicyType >
• ResetNoise() : NoisyLinear< InputDataType, OutputDataType > , DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType > , CategoricalDQN< OutputLayerType, InitType, NetworkType > , SimpleDQN< OutputLayerType, InitType, NetworkType >
• ResetParameters() : RNN< OutputLayerType, InitializationRuleType, CustomLayers > , CategoricalDQN< OutputLayerType, InitType, NetworkType > , DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType > , SimpleDQN< OutputLayerType, InitType, NetworkType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , NoisyLinear< InputDataType, OutputDataType >
• ResetQueryTree() : RASearch< SortPolicy, MetricType, MatType, TreeType >
• residue : SimpleResidueTermination
• Responses() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LogisticRegressionFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType >
• ResponsesOffset() : BayesianLinearRegression
• RestoreSettings() : IO
• reward : PrioritizedReplay< EnvironmentType >::Transition
• Reward() : ReinforceNormal< InputDataType, OutputDataType >
• reward : RandomReplay< EnvironmentType >::Transition
• Reward() : ReinforceNormal< InputDataType, OutputDataType >
• RewardClipping() : RewardClipping< EnvironmentType >
• RewardSetVisitor() : RewardSetVisitor
• Rf() : RegressionDistribution
• Rho() : RNN< OutputLayerType, InitializationRuleType, CustomLayers > , Recurrent< InputDataType, OutputDataType, CustomLayers > , LSTM< InputDataType, OutputDataType > , SparseAutoencoderFunction , NSModel< SortPolicy > , SparseAutoencoder , TrainingConfig , RecurrentAttention< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , TrainingConfig , NSModel< SortPolicy > , LSTM< InputDataType, OutputDataType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , SparseAutoencoderFunction , FastLSTM< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , SparseAutoencoder , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
• Right() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , DTree< MatType, TagType > , HyperplaneBase< BoundT, ProjVectorT > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CosineTree , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , HyperplaneBase< BoundT, ProjVectorT > , CosineTree
• Rk4() : Acrobot
• RK4() : ContinuousDoublePoleCart , DoublePoleCart
• RMSE() : BayesianLinearRegression
• RNN() : RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• Root() : DTree< MatType, TagType >
• ROption() : ROption< T >
• Rows() : ColumnsToBlocks
• RP_TREE : RSModel , NSModel< SortPolicy >
• RPlusPlusTreeAuxiliaryInformation() : RPlusPlusTreeAuxiliaryInformation< TreeType >
• RSModel() : RSModel
• RSTypeT : TrainVisitor , BiSearchVisitor
• Run() : AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers >
• RunSetVisitor() : RunSetVisitor