Here is a list of all class members with links to the classes they belong to:
- b -
- B_STRICTLY_DOMINATES_A
: shark::ParetoDominanceComparator< Extractor >
- B_WEAKLY_DOMINATES_A
: shark::ParetoDominanceComparator< Extractor >
- back()
: shark::blas::matrix_set< element_type >
, shark::blas::vector< T >
- backpropMatrices()
: shark::FFNet< HiddenNeuron, OutputNeuron >
- balanceFit()
: shark::GruauPole
- BarsAndStripes()
: shark::BarsAndStripes
- Base
: shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
- base()
: shark::ScaledKernel< InputType >
- baseRate()
: shark::BinaryLayer
- basis()
: shark::KernelExpansion< InputType >
- batch()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- batch_range
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- batch_reference
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- batches()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- BatchInputType
: shark::AbstractClustering< InputT >
, shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractMetric< InputTypeT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::AbstractNearestNeighbors< InputType, LabelType >
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::CARTClassifier< LabelType >
, shark::ClusteringModel< InputT, OutputT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::GaussianRbfKernel< InputType >
, shark::HardClusteringModel< InputT >
, shark::HierarchicalClustering< InputT >
, shark::KernelExpansion< InputType >
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NormalizedKernel< InputType >
, shark::Normalizer< DataType >
, shark::OneVersusOneClassifier< InputType >
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::ScaledKernel< InputType >
, shark::SimpleNearestNeighbors< InputType, LabelType >
, shark::SoftNearestNeighborClassifier< InputType >
, shark::TreeNearestNeighbors< InputType, LabelType >
, shark::WeightedSumKernel< InputType >
- BatchLabelType
: shark::AbsoluteLoss< VectorType >
, shark::AbstractCost< LabelT, OutputT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- BatchOutputType
: shark::AbsoluteLoss< VectorType >
, shark::AbstractClustering< InputT >
, shark::AbstractCost< LabelT, OutputT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::ArgMaxConverter< Model >
, shark::CARTClassifier< LabelType >
, shark::ClusteringModel< InputT, OutputT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::HardClusteringModel< InputT >
, shark::HierarchicalClustering< InputT >
, shark::KernelExpansion< InputType >
, shark::LinearModel< InputType >
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::Normalizer< DataType >
, shark::OneVersusOneClassifier< InputType >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::SoftNearestNeighborClassifier< InputType >
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- batchSize()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::MarkovChain< Operator >
, shark::MNIST
, shark::NoisyErrorFunction
, shark::TemperedMarkovChain< Operator >
- begin()
: shark::blas::compressed_vector< T, I >
, shark::blas::dense_vector_adaptor< T >
, shark::blas::matrix_column< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_set< element_type >
, shark::blas::matrix_vector_range< M >
, shark::blas::scalar_vector< T >
, shark::blas::sparse_vector_adaptor< T, I >
, 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_scalar_multiply< E >
, shark::blas::vector_unary< E, F >
, shark::DataView< DatasetType >
, shark::EvaluationArchive< PointType, ResultT >
, shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- Bernoulli()
: shark::Bernoulli< RngType >
- beta()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::RadiusMarginQuotient< InputType, CacheType >::Result
, shark::TemperedMarkovChain< Operator >
, shark::Weibull< RngType >
, shark::Weibull_distribution< RealType >
- bias()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianLayer
, shark::QpMcDecomp< Matrix >
, shark::RecurrentStructure
, shark::TruncatedExponentialLayer
- BiasSolver()
: shark::BiasSolver< Matrix >
- BiasSolverSimplex()
: shark::BiasSolverSimplex< Matrix >
- binary()
: shark::OneVersusOneClassifier< InputType >
- BinaryTree()
: shark::BinaryTree< InputT >
- Binomial()
: shark::Binomial< RngType >
- BitflipMutator()
: shark::BitflipMutator
- Blocking()
: shark::blas::Blocking< Matrix >
- BlockMatrix2x2()
: shark::BlockMatrix2x2< Matrix >
- BlockMatrixType
: shark::EpsilonSvmTrainer< InputType, CacheType >
- BOOST_SERIALIZATION_SPLIT_MEMBER()
: shark::ISerializable
- BOOST_STATIC_ASSERT()
: shark::NBClassifier< InputType, OutputType >
- BOOST_STATIC_CONSTANT()
: boost::serialization::tracking_level< shark::TypedFlags< T > >
, boost::serialization::tracking_level< std::vector< T > >
, shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
, shark::WeightedLabeledData< InputT, LabelT >
, shark::WeightedUnlabeledData< DataT >
- BoxConstrainedProblem()
: shark::BoxConstrainedProblem< SVMProblem >
- BoxConstrainedShrinkingProblem()
: shark::BoxConstrainedShrinkingProblem< Problem >
- BoxConstraintHandler()
: shark::BoxConstraintHandler< Vector >
- BoxedSVMProblem()
: shark::BoxedSVMProblem< MatrixT >
- boxMax()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxedSVMProblem< MatrixT >
, shark::CSVMProblem< MatrixT >
, shark::GeneralQuadraticProblem< MatrixT >
, shark::SvmProblem< Problem >
- boxMin()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxedSVMProblem< MatrixT >
, shark::CSVMProblem< MatrixT >
, shark::GeneralQuadraticProblem< MatrixT >
, shark::SvmProblem< Problem >
- budgetMaintenanceStrategy()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- budgetSize()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- buildTree()
: shark::CARTTrainer
, shark::KDTree< InputT >
, shark::KHCTree< Container, CuttingAccuracy >
, shark::LCTree< VectorType, CuttingAccuracy >
, shark::RFTrainer
- bUnshrinked
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >