Here is a list of all class members with links to the classes they belong to:
- r -
- r
: shark::CARTClassifier< LabelType >::SplitInfo
- R2
: shark::RadiusMarginQuotient< InputType, CacheType >::Result
- RadiusMarginQuotient()
: shark::RadiusMarginQuotient< InputType, CacheType >
- RANDOM
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::RemoveBudgetMaintenanceStrategy< InputType >
- range()
: shark::blas::vector_range< V >
- range1()
: shark::blas::matrix_range< M >
, shark::blas::matrix_vector_range< M >
- range2()
: shark::blas::matrix_range< M >
, shark::blas::matrix_vector_range< M >
- rank()
: shark::Individual< PointType, FitnessTypeT, Chromosome >
- rankOneUpdate()
: shark::MultiVariateNormalDistributionCholesky
- RBFLayer()
: shark::RBFLayer
- RBM
: shark::ContrastiveDivergence< Operator >
, shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::ExactGradient< RBMType >
, shark::GibbsOperator< RBMType >
- rbm()
: shark::GibbsOperator< RBMType >
- RBM
: shark::MarkovChain< Operator >
, shark::MultiChainApproximator< MarkovChainType >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::SingleChainApproximator< MarkovChainType >
, shark::TemperedMarkovChain< Operator >
- read()
: GaussianTaskKernel< InputTypeT >
, shark::AbstractClustering< InputT >
, shark::AbstractLineSearchOptimizer
, shark::AbstractMetric< InputTypeT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::BFGS
, shark::BinaryLayer
, shark::BipolarLayer
, shark::CARTClassifier< LabelType >
, shark::Centroids
, shark::CG
, shark::ClusteringModel< InputT, OutputT >
, shark::CMA
, shark::CMACMap
, shark::CMSA
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::CrossEntropyMethod
, shark::CSvmDerivative< InputType, CacheType >
, shark::Data< Type >
, shark::DiscreteKernel
, shark::ElitistCMA
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianLayer
, shark::GaussianRbfKernel< InputType >
, shark::GridSearch
, shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
, shark::IRpropPlus
, shark::IRpropPlusFull
, shark::ISerializable
, shark::KernelExpansion< InputType >
, shark::LabeledData< InputT, LabelT >
, shark::LBFGS
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, shark::LineSearch
, shark::MeanModel< ModelType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::MultiTaskSample< InputTypeT >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NestedGridSearch
, shark::Normalizer< DataType >
, shark::OneVersusOneClassifier< InputType >
, shark::OptimizationTrainer< Model, LabelTypeT >
, shark::PointSearch
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RecurrentStructure
, shark::RpropMinus
, shark::RpropPlus
, shark::ScaledKernel< InputType >
, shark::SigmoidModel
, shark::SimplexDownhill
, shark::SMSEMOA
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::SteepestDescent
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::TruncatedExponentialLayer
, shark::TypedFlags< Flag >
, shark::WeightedSumKernel< InputType >
- recombinationType()
: shark::CMA
- RecombinationType
: shark::CMA
- RecurrentStructure()
: shark::RecurrentStructure
- reduceBudget()
: shark::MergeBudgetMaintenanceStrategy< RealVector >
- reference()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, shark::blas::diagonal_matrix< VectorType >
, shark::blas::matrix< T, L >
, shark::blas::matrix_addition< E1, E2 >
, shark::blas::matrix_binary< E1, E2, F >
, shark::blas::matrix_column< M >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_scalar_multiply< E >
, shark::blas::matrix_set< element_type >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_unary< E, F >
, shark::blas::matrix_vector_range< M >
, shark::blas::outer_product< E1, E2 >
, shark::blas::scalar_matrix< T >
, shark::blas::scalar_vector< T >
, shark::blas::sparse_vector_adaptor< T, I >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::blas::vector_addition< E1, E2 >
, shark::blas::vector_binary< E1, E2, F >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
, shark::blas::vector_repeater< V >
, shark::blas::vector_scalar_multiply< E >
, shark::blas::vector_unary< E, F >
, shark::DataView< DatasetType >
, shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::MarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- regularization()
: shark::LDA
, shark::LinearRegression
- RegularizationNetworkTrainer()
: shark::RegularizationNetworkTrainer< InputType >
- regularizationParameters()
: shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
- RegularizedKernelMatrix()
: shark::RegularizedKernelMatrix< InputType, CacheType >
- RemoveBudgetMaintenanceStrategy()
: shark::RemoveBudgetMaintenanceStrategy< InputType >
- RemoveStrategyFlavor
: shark::RemoveBudgetMaintenanceStrategy< InputType >
- repartition()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- REQUIRES_CLOSEST_FEASIBLE
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- REQUIRES_FIRST_DERIVATIVE
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- REQUIRES_SECOND_DERIVATIVE
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- REQUIRES_VALUE
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- requiresClosestFeasible()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- requiresFirstDerivative()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- requiresSecondDerivative()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- requiresValue()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- reserve()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::matrix< T, L >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_vector_range< M >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- reserve_column()
: shark::blas::matrix< T, L >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_vector_range< M >
- reserve_row()
: shark::blas::compressed_matrix< T, I >
, shark::blas::matrix< T, L >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_vector_range< M >
- reset()
: shark::AbstractStoppingCriterion< ResultSetT >
, shark::DiffGeometric_distribution< IntType, RealType >
, shark::Dirichlet_distribution< RealType >
, shark::Erlang_distribution< RealType >
, shark::Gamma_distribution< RealType >
, shark::GeneralizationLoss< PointType >
, shark::GeneralizationQuotient< PointType >
, shark::HMGSelectionCriterion
, shark::HyperGeometric_distribution< IntType, RealType >
, shark::LibSVMSelectionCriterion
, shark::MaximumGainCriterion
, shark::MaximumGradientCriterion
, shark::MaxIterations< ResultSet >
, shark::MVPSelectionCriterion
, shark::QpMcBoxDecomp< Matrix >::PreferedSelectionStrategy
, shark::QpMcSimplexDecomp< Matrix >::PreferedSelectionStrategy
, shark::TrainingError< PointType >
, shark::TrainingProgress< PointType >
, shark::TruncatedExponential_distribution< RealType >
, shark::TypedFlags< Flag >
, shark::ValidatedStoppingCriterion
, shark::Weibull_distribution< RealType >
, shark::WS2MaximumGradientCriterion
- resetAccessCount()
: shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::GaussianKernelMatrix< T, CacheType >
, shark::KernelMatrix< InputType, CacheType >
, shark::ModifiedKernelMatrix< InputType, CacheType >
, shark::RegularizedKernelMatrix< InputType, CacheType >
- resetDifferences()
: shark::EnergyStoringTemperedMarkovChain< Operator >
- resetInternalState()
: shark::OnlineRNNet
- reshrink()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::SvmProblem< Problem >
- resize()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::matrix< T, L >
, shark::blas::matrix_set< element_type >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::GaussianLayer
, shark::MultiVariateNormalDistribution
, shark::MultiVariateNormalDistributionCholesky
, shark::TruncatedExponentialLayer
- resizeLine()
: shark::LRUCache< T >
- responseSize1()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
- responseSize2()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
- restoreOriginalLabels()
: shark::LabelOrder
- result
: shark::EvaluationArchive< PointType, ResultT >::PointResultPairType
- ResultSet
: shark::AbstractStoppingCriterion< ResultSetT >
, shark::GeneralizationLoss< PointType >
, shark::GeneralizationQuotient< PointType >
, shark::ResultSet< SearchPointT, ResultT >
, shark::TrainingProgress< PointType >
- ResultTable()
: shark::statistics::ResultTable< Parameter >
- ResultType
: shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
, shark::AbstractSingleObjectiveOptimizer< PointType >
, shark::EvaluationArchive< PointType, ResultT >
, shark::ResultSet< SearchPointT, ResultT >
, shark::SingleObjectiveResultSet< SearchPointTypeT >
, shark::TwoNormRegularizer
- RFTrainer()
: shark::RFTrainer
- rho
: shark::QpMcDecomp< Matrix >
- rhs()
: shark::blas::outer_product< E1, E2 >
- right()
: shark::BinaryTree< InputT >
- rightNodeId
: shark::CARTClassifier< LabelType >::SplitInfo
- rng()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- RngType
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- RNNet()
: shark::RNNet
- ROC()
: shark::ROC
- Rosenbrock()
: shark::Rosenbrock
- RotatedObjectiveFunction()
: shark::RotatedObjectiveFunction
- row()
: shark::BlockMatrix2x2< Matrix >
, shark::CachedMatrix< Matrix >
, shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::GaussianKernelMatrix< T, CacheType >
, shark::KernelMatrix< InputType, CacheType >
, shark::ModifiedKernelMatrix< InputType, CacheType >
, shark::PartlyPrecomputedMatrix< Matrix >
, shark::PrecomputedMatrix< Matrix >
, shark::QpSparseArray< QpFloatType >
, shark::RegularizedKernelMatrix< InputType, CacheType >
- row_begin()
: shark::blas::compressed_matrix< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::diagonal_matrix< VectorType >
, shark::blas::matrix< T, L >
, shark::blas::matrix_addition< E1, E2 >
, shark::blas::matrix_binary< E1, E2, F >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_scalar_multiply< E >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_unary< E, F >
, shark::blas::outer_product< E1, E2 >
, shark::blas::scalar_matrix< T >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector_repeater< V >
- row_capacity()
: shark::blas::compressed_matrix< T, I >
- row_end()
: shark::blas::compressed_matrix< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::diagonal_matrix< VectorType >
, shark::blas::matrix< T, L >
, shark::blas::matrix_addition< E1, E2 >
, shark::blas::matrix_binary< E1, E2, F >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_scalar_multiply< E >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_unary< E, F >
, shark::blas::outer_product< E1, E2 >
, shark::blas::scalar_matrix< T >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector_repeater< V >
- row_iterator
: shark::blas::compressed_matrix< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::diagonal_matrix< VectorType >
, shark::blas::matrix< T, L >
, shark::blas::matrix_addition< E1, E2 >
, shark::blas::matrix_binary< E1, E2, F >
, shark::blas::matrix_matrix_prod< MatA, MatB >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_scalar_multiply< E >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_unary< E, F >
, shark::blas::outer_product< E1, E2 >
, shark::blas::scalar_matrix< T >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector_repeater< V >
- RpropMinus()
: shark::RpropMinus
- RpropPlus()
: shark::RpropPlus
- runtime()
: shark::HypervolumeCalculator