Here is a list of all class members with links to the classes they belong to:
- c -
- C()
: shark::AbstractLinearSvmTrainer< InputType >
, shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::QpMcDecomp< Matrix >
- CachedBlockMatrixType
: shark::EpsilonSvmTrainer< InputType, CacheType >
- cachedLines()
: shark::LRUCache< T >
- CachedMatrix()
: shark::CachedMatrix< Matrix >
- CachedMatrixType
: shark::OneClassSvmTrainer< InputType, CacheType >
, shark::RadiusMarginQuotient< InputType, CacheType >
, shark::SquaredHingeCSvmTrainer< InputType, CacheType >
- CacheSize()
: shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
- cacheSize()
: shark::KernelSGDTrainer< InputType, CacheType >
- CacheSize()
: shark::OneClassSvmTrainer< InputType, CacheType >
- calcGradient()
: shark::QpMcLinear< InputT >
, shark::QpMcLinearADM< InputT >
, shark::QpMcLinearATM< InputT >
, shark::QpMcLinearATS< InputT >
, shark::QpMcLinearCS< InputT >
, shark::QpMcLinearLLW< InputT >
, shark::QpMcLinearMMR< InputT >
, shark::QpMcLinearReinforced< InputT >
, shark::QpMcLinearWW< InputT >
- calculateCuttingDimension()
: shark::KDTree< InputT >
- calculateEnergy()
: shark::GibbsOperator< RBMType >
- calculateNormal()
: shark::KHCTree< Container, CuttingAccuracy >
, shark::LCTree< VectorType, CuttingAccuracy >
- CAN_GENERATE_RANDOM_POINT
: shark::AbstractConstraintHandler< SearchPointType >
- CAN_PROPOSE_STARTING_POINT
: shark::AbstractObjectiveFunction< PointType, ResultT >
- CAN_PROVIDE_CLOSEST_FEASIBLE
: shark::AbstractConstraintHandler< SearchPointType >
, shark::AbstractObjectiveFunction< PointType, ResultT >
- CAN_SOLVE_CONSTRAINED
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- canGenerateRandomPoint()
: shark::AbstractConstraintHandler< SearchPointType >
- canProposeStartingPoint()
: shark::AbstractObjectiveFunction< PointType, ResultT >
- canProvideClosestFeasible()
: shark::AbstractConstraintHandler< SearchPointType >
, shark::AbstractObjectiveFunction< PointType, ResultT >
- canSolveConstrained()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- cardP()
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- cardR
: shark::QpMcDecomp< Matrix >
- CARTClassifier()
: shark::CARTClassifier< LabelType >
- CARTTrainer()
: shark::CARTTrainer
- cauchy()
: shark::BaseRng< RNG >
- Cauchy()
: shark::Cauchy< RngType >
- cbegin()
: shark::blas::matrix_set< element_type >
, shark::blas::vector< T >
- cend()
: shark::blas::matrix_set< element_type >
, shark::blas::vector< T >
- centers()
: shark::RBFLayer
- Centroids()
: shark::Centroids
- centroids()
: shark::Centroids
- chain()
: shark::MultiChainApproximator< MarkovChainType >
, shark::SingleChainApproximator< MarkovChainType >
- checkFeatures()
: shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
- checkKKT()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
, shark::SvmProblem< Problem >
- Chessboard()
: shark::Chessboard
- chromosome()
: shark::Individual< PointType, FitnessTypeT, Chromosome >
- Cigar()
: shark::Cigar
- CigarDiscus()
: shark::CigarDiscus
- CIGTAB1()
: shark::CIGTAB1
- CIGTAB2()
: shark::CIGTAB2
- CircleInSquare()
: shark::CircleInSquare
- classes
: shark::QpMcDecomp< Matrix >
- ClassifierType
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
- ClassPriorsType
: shark::NBClassifier< InputType, OutputType >
- clear()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::matrix< T, L >
, shark::blas::matrix_column< M >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_set< element_type >
, shark::blas::matrix_transpose< M >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
, shark::CachedMatrix< Matrix >
, shark::LRUCache< T >
, shark::PrecomputedMatrix< Matrix >
- clear_element()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, shark::blas::matrix< T, L >
, shark::blas::matrix_column< M >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_transpose< M >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- clear_range()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, shark::blas::matrix< T, L >
, shark::blas::matrix_column< M >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_transpose< M >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- clearModels()
: shark::MeanModel< ModelType >
- closestFeasible()
: shark::AbstractConstraintHandler< SearchPointType >
, shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::BoxConstraintHandler< Vector >
, shark::EvaluationArchive< PointType, ResultT >
- ClusteringModel()
: shark::ClusteringModel< InputT, OutputT >
- ClusteringType
: shark::ClusteringModel< InputT, OutputT >
- CMA()
: shark::CMA
- CMAChromosome()
: shark::CMAChromosome
- CMACMap()
: shark::CMACMap
- CMAIndividual()
: shark::CMAIndividual< FitnessType >
- CMSA()
: shark::CMSA
- cog()
: shark::CMSA
- coinToss()
: shark::BaseRng< RNG >
- column_begin()
: 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 >
- column_end()
: 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 >
- column_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 >
- CombinedObjectiveFunction()
: shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
- compressed_matrix()
: shark::blas::compressed_matrix< T, I >
- compressed_vector()
: shark::blas::compressed_vector< T, I >
- computeFeatureImportances()
: shark::CARTClassifier< LabelType >
, shark::RFClassifier
- computeMatrix()
: GaussianTaskKernel< InputTypeT >
- computeNorm()
: shark::MissingFeaturesKernelExpansion< InputType >
- computeOOBerror()
: shark::CARTClassifier< LabelType >
, shark::RFClassifier
- computeRadiusMargin()
: shark::RadiusMarginQuotient< InputType, CacheType >
- computesBatch
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::MarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- computeSearchDirection()
: shark::AbstractLineSearchOptimizer
, shark::BFGS
, shark::CG
, shark::LBFGS
- ConcatenatedModel()
: shark::ConcatenatedModel< InputType, OutputType >
- condition()
: shark::CMA
- configure()
: shark::GridSearch
, shark::NestedGridSearch
, shark::PointSearch
- connection()
: shark::RecurrentStructure
- connections()
: shark::RecurrentStructure
- ConnectionType
: shark::FFNetStructures
- const_batch_range
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- const_batch_reference
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- const_column_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 >
- const_element_range
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- const_element_reference
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- const_index_pointer
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, 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_matrix_prod< MatA, MatB >
, 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_prod< MatA, VecV >
, 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 >
, 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 >
- const_iterator
: 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_prod< MatA, VecV >
, 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::KHCTree< Container, CuttingAccuracy >
, shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- const_pointer
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, 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 >
, 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 >
- const_reference
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, 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 >
, 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 >
- const_row_iterator
: shark::blas::compressed_matrix< T, I >
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, 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 >
- const_sample_iterator
: shark::LeastContributorApproximator< Rng, ExactHypervolume >::Point< VectorType >
- ConstantNoise()
: shark::CrossEntropyMethod::ConstantNoise
- ConstBatchInputReference
: shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractMetric< InputTypeT >
, shark::ARDKernelUnconstrained< InputType >
, shark::GaussianRbfKernel< InputType >
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::LinearKernel< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NormalizedKernel< InputType >
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::ScaledKernel< InputType >
, shark::WeightedSumKernel< InputType >
- ConstDenseSubType
: shark::VectorMatrixTraits< VectorType >
- ConstInputReference
: shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractMetric< InputTypeT >
, shark::ARDKernelUnconstrained< InputType >
, shark::GaussianRbfKernel< InputType >
, shark::LinearKernel< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NormalizedKernel< InputType >
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::ScaledKernel< InputType >
, shark::WeightedSumKernel< InputType >
- constrainedPenaltyFactor()
: shark::ElitistCMA
- ConstrainedSphere()
: shark::ConstrainedSphere
- ConstSubType
: shark::VectorMatrixTraits< VectorType >
- Container
: shark::Data< Type >
- ContrastiveDivergence()
: shark::ContrastiveDivergence< Operator >
- ConvexCombination()
: shark::ConvexCombination
- ConvolutionalRBM()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
- CoordinateSelectionStrategy
: shark::QpMcLinear< InputT >
- CostType
: shark::CrossValidationError< ModelTypeT, LabelTypeT >
- countAttributes()
: shark::CARTClassifier< LabelType >
, shark::RFClassifier
- covarianceMatrix()
: shark::CMA
, shark::MultiVariateNormalDistribution
- createAttributeTables()
: shark::CARTTrainer
, shark::RFTrainer
- createCountMatrix()
: shark::CARTTrainer
, shark::RFTrainer
- createSample()
: shark::GibbsOperator< RBMType >
- createState()
: shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::ARDKernelUnconstrained< InputType >
, shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::CARTClassifier< LabelType >
, shark::CMACMap
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::DiscreteKernel
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianNoiseModel
, shark::GaussianRbfKernel< InputType >
, shark::ImpulseNoiseModel
, shark::KernelExpansion< InputType >
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, 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::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RNNet
, shark::ScaledKernel< InputType >
, shark::SigmoidModel
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::ThresholdConverter
, shark::ThresholdVectorConverter
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::WeightedSumKernel< InputType >
- CrossEntropy()
: shark::CrossEntropy
- CrossEntropyIndependent()
: shark::CrossEntropyIndependent
- CrossEntropyMethod()
: shark::CrossEntropyMethod
- crossoverProbability()
: shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::SMSEMOA
- CrossValidationError()
: shark::CrossValidationError< ModelTypeT, LabelTypeT >
- CSvmDerivative()
: shark::CSvmDerivative< InputType, CacheType >
- CSVMProblem()
: shark::CSVMProblem< MatrixT >
- CSvmTrainer()
: shark::CSvmTrainer< InputType, CacheType >
- CVFolds()
: shark::CVFolds< DatasetTypeT >