- r -
- Radical() : Radical
- Radius() : BallBound< MetricType, VecType >, MeanShift< UseKernel, KernelType, MatType >
- RAModel() : RAModel< SortPolicy >
- Random() : DiagonalGaussianDistribution, DiscreteDistribution, GammaDistribution, GaussianDistribution, LaplaceDistribution, DiagonalGMM, GMM
- RandomAcolInitialization() : RandomAcolInitialization< columnsToAverage >
- RandomBasis() : NSModel< SortPolicy >, RAModel< SortPolicy >, RSModel
- 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, GiniImpurity, HoeffdingInformationGain, InformationGain
- RangeDistance() : BallBound< MetricType, VecType >, HollowBallBound< TMetricType, ElemType >, HRectBound< MetricType, ElemType >, 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 >
- RangeSearch() : RangeSearch< MetricType, MatType, TreeType >
- RangeSearchRules() : RangeSearchRules< MetricType, TreeType >
- RangeSearchStat() : RangeSearchStat
- RangeType() : RangeType< T >
- Rank() : CFType< DecompositionPolicy, NormalizationType >, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >
- RAQueryStat() : RAQueryStat< SortPolicy >
- RASearch() : RASearch< SortPolicy, MetricType, MatType, TreeType >
- RASearchRules() : RASearchRules< SortPolicy, MetricType, TreeType >
- Ratio() : AlphaDropout< InputDataType, OutputDataType >, DropConnect< InputDataType, OutputDataType >, Dropout< InputDataType, OutputDataType >, SpatialDropout< InputDataType, OutputDataType >, DTree< MatType, TagType >, BLEU< ElemType, PrecisionType >
- RBF() : RBF< InputDataType, OutputDataType, Activation >
- RBM() : RBM< InitializationRuleType, DataType, PolicyType >
- 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 >
- ReferenceSet() : LSHSearch< SortPolicy, MatType >, NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >, RASearch< SortPolicy, MetricType, MatType, TreeType >, RangeSearch< MetricType, MatType, 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() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >, KDEModel
- Relax() : FurthestNS, NearestNS
- RelErrorVisitor() : RelErrorVisitor
- RemoveNode() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- Reparametrization() : Reparametrization< InputDataType, OutputDataType >
- Replicates() : Radical
- Rescore() : 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 >
- Reset() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, BatchNorm< InputDataType, OutputDataType >, BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, FastLSTM< InputDataType, OutputDataType >, FlexibleReLU< InputDataType, OutputDataType >, GAN< Model, InitializationRuleType, Noise, PolicyType >, Highway< InputDataType, OutputDataType, CustomLayers >, LayerNorm< InputDataType, OutputDataType >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, LSTM< InputDataType, OutputDataType >, MiniBatchDiscrimination< InputDataType, OutputDataType >, MultiheadAttention< InputDataType, OutputDataType, RegularizerType >, NoisyLinear< InputDataType, OutputDataType >, PReLU< InputDataType, OutputDataType >, RBM< InitializationRuleType, DataType, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, VirtualBatchNorm< InputDataType, OutputDataType >, WeightNorm< InputDataType, OutputDataType, CustomLayers >, BagOfWordsEncodingPolicy, DictionaryEncodingPolicy, TfIdfEncodingPolicy, NeighborSearchStat< SortPolicy >, Timers
- ResetAll() : Timer
- ResetCell() : FastLSTM< InputDataType, OutputDataType >, GRU< InputDataType, OutputDataType >, LSTM< InputDataType, OutputDataType >
- ResetCellVisitor() : ResetCellVisitor
- ResetData() : GAN< Model, InitializationRuleType, Noise, PolicyType >
- ResetNoise() : NoisyLinear< InputDataType, OutputDataType >, CategoricalDQN< OutputLayerType, InitType, NetworkType >, DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType >, SimpleDQN< OutputLayerType, InitType, NetworkType >
- ResetParameters() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, NoisyLinear< InputDataType, OutputDataType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, CategoricalDQN< OutputLayerType, InitType, NetworkType >, DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType >, SimpleDQN< OutputLayerType, InitType, NetworkType >
- ResetQueryTree() : RASearch< SortPolicy, MetricType, MatType, TreeType >
- Responses() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, GAN< Model, InitializationRuleType, Noise, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, LogisticRegressionFunction< MatType >
- ResponsesOffset() : BayesianLinearRegression
- RestoreSettings() : IO
- Reward() : ReinforceNormal< InputDataType, OutputDataType >
- RewardClipping() : RewardClipping< EnvironmentType >
- RewardSetVisitor() : RewardSetVisitor
- Rf() : RegressionDistribution
- Rho() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FastLSTM< InputDataType, OutputDataType >, GRU< InputDataType, OutputDataType >, LSTM< InputDataType, OutputDataType >, Recurrent< InputDataType, OutputDataType, CustomLayers >, RecurrentAttention< InputDataType, OutputDataType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, NSModel< SortPolicy >, SparseAutoencoder, SparseAutoencoderFunction, TrainingConfig
- Right() : DTree< MatType, TagType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CosineTree, HyperplaneBase< BoundT, ProjVectorT >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- Rk4() : Acrobot
- RK4() : ContinuousDoublePoleCart, DoublePoleCart
- RMSE() : BayesianLinearRegression
- RNN() : RNN< OutputLayerType, InitializationRuleType, CustomLayers >
- Root() : DTree< MatType, TagType >
- ROption() : ROption< T >
- Rows() : ColumnsToBlocks
- RPlusPlusTreeAuxiliaryInformation() : RPlusPlusTreeAuxiliaryInformation< TreeType >
- RSModel() : RSModel
- Run() : AddMerge< InputDataType, OutputDataType, CustomLayers >, Concat< InputDataType, OutputDataType, CustomLayers >
- RunSetVisitor() : RunSetVisitor