- r -

• Radical() : mlpack::radical::Radical
• Radius() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• RAModel() : mlpack::neighbor::RAModel< SortPolicy >
• Random() : mlpack::distribution::DiscreteDistribution , mlpack::distribution::GammaDistribution , mlpack::distribution::GaussianDistribution , mlpack::distribution::LaplaceDistribution , mlpack::gmm::GMM
• RandomAcolInitialization() : mlpack::amf::RandomAcolInitialization< columnsToAverage >
• RandomBasis() : mlpack::neighbor::NSModel< SortPolicy > , mlpack::neighbor::RAModel< SortPolicy > , mlpack::range::RSModel
• RandomInitialization() : mlpack::amf::RandomInitialization , mlpack::ann::RandomInitialization , mlpack::perceptron::RandomInitialization
• RandomizedSVD() : mlpack::svd::RandomizedSVD
• RandomizedSVDPolicy() : mlpack::pca::RandomizedSVDPolicy
• RandomPartition() : mlpack::kmeans::RandomPartition
• Range() : mlpack::tree::GiniGain , mlpack::tree::GiniImpurity , mlpack::tree::InformationGain
• RangeDistance() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType > , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• RangeSearch() : mlpack::range::RangeSearch< MetricType, MatType, TreeType >
• RangeSearchRules() : mlpack::range::RangeSearchRules< MetricType, TreeType >
• RangeSearchStat() : mlpack::range::RangeSearchStat
• RangeType() : mlpack::math::RangeType< T >
• Rank() : mlpack::cf::CF , mlpack::svd::RegularizedSVDFunction
• RAQueryStat() : mlpack::neighbor::RAQueryStat< SortPolicy >
• RASearch() : mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType >
• RASearchRules() : mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• Ratio() : mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::det::DTree< MatType, TagType >
• Recall() : mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• Recover() : mlpack::matrix_completion::MatrixCompletion
• RectangleTree() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Recurrent() : mlpack::ann::Recurrent< InputDataType, OutputDataType >
• RecurrentAttention() : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• RedistributeNodesEvenly() : mlpack::tree::HilbertRTreeSplit< splitOrder >
• RedistributePointsEvenly() : mlpack::tree::HilbertRTreeSplit< splitOrder >
• ReferenceRecursion() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >
• ReferenceSet() : mlpack::neighbor::LSHSearch< SortPolicy > , mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType >
• ReferenceTree() : mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , mlpack::range::RangeSearch< MetricType, MatType, TreeType >
• RefinedStart() : mlpack::kmeans::RefinedStart
• RegisterProgramDoc() : mlpack::CLI
• RegressionDistribution() : mlpack::distribution::RegressionDistribution
• RegularizedSVD() : mlpack::svd::RegularizedSVD< OptimizerType >
• RegularizedSVDFunction() : mlpack::svd::RegularizedSVDFunction
• ReinforceNormal() : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• Relax() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• RemoveNewImplicitNodes() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• RemoveNode() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Replicates() : mlpack::radical::Radical
• ReSampling() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• Rescale() : mlpack::ann::Dropout< InputDataType, OutputDataType >
• Rescore() : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType > , mlpack::range::RangeSearchRules< MetricType, TreeType >
• Reset() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::PReLU< InputDataType, OutputDataType > , mlpack::neighbor::NeighborSearchStat< SortPolicy >
• ResetDeterministic() : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• ResetGradients() : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• ResetParameter() : mlpack::ann::ResetVisitor
• ResetParameters() : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• ResetQueryTree() : mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType >
• Responses() : mlpack::regression::LogisticRegressionFunction< MatType >
• ReturnIndicesFromTable() : mlpack::neighbor::LSHSearch< SortPolicy >
• Reward() : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• RewardSetVisitor() : mlpack::ann::RewardSetVisitor
• Rf() : mlpack::distribution::RegressionDistribution
• Rho() : mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::neighbor::NSModel< SortPolicy > , mlpack::nn::SparseAutoencoder< OptimizerType > , mlpack::nn::SparseAutoencoderFunction , mlpack::optimization::AdaDelta< DecomposableFunctionType >
• Right() : mlpack::det::DTree< MatType, TagType > , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CosineTree , mlpack::tree::HyperplaneBase< BoundT, ProjVectorT > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• RMSprop() : mlpack::optimization::RMSprop< DecomposableFunctionType >
• RNN() : mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• Root() : mlpack::det::DTree< MatType, TagType >
• RosenbrockFunction() : mlpack::optimization::test::RosenbrockFunction
• RosenbrockWoodFunction() : mlpack::optimization::test::RosenbrockWoodFunction
• Rotate180() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• Rows() : mlpack::math::ColumnsToBlocks
• RPlusPlusTreeAuxiliaryInformation() : mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType >
• RSModel() : mlpack::range::RSModel