- s -
- s2do()
: shark::QpConfig
- sample()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::GaussianLayer
, shark::LeastContributorApproximator< Rng, ExactHypervolume >
, shark::MarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
, shark::TruncatedExponentialLayer
- sampleHidden()
: shark::GibbsOperator< RBMType >
- samples()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::MarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- sampleVisible()
: shark::GibbsOperator< RBMType >
- save()
: shark::ISerializable
- scalar_matrix()
: shark::blas::scalar_matrix< T >
- scalar_vector()
: shark::blas::scalar_vector< T >
- scale()
: shark::LogNormal< RngType >
- scaleBoxConstraints()
: shark::BoxConstrainedShrinkingProblem< Problem >
, shark::BoxedSVMProblem< MatrixT >
, shark::CSVMProblem< MatrixT >
, shark::GeneralQuadraticProblem< MatrixT >
, shark::SvmProblem< Problem >
, shark::SvmShrinkingProblem< Problem >
- ScaledKernel()
: shark::ScaledKernel< InputType >
- Schwefel()
: shark::Schwefel
- ScopedHandle()
: shark::ScopedHandle< T >
- searchPoint()
: shark::Individual< PointType, FitnessTypeT, Chromosome >
- second()
: shark::PairIterator< Value, Iterator1, Iterator2 >
- seed()
: shark::BaseRng< RNG >
- selected()
: shark::Individual< PointType, FitnessTypeT, Chromosome >
- selectionSize()
: shark::CrossEntropyMethod
- selectWorkingSet()
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- selectWorkingSetSMO()
: shark::QpMcDecomp< Matrix >
- serialize()
: shark::AdditiveEpsilonIndicator
, shark::BitflipMutator
, 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::CARTClassifier< LabelType >::SplitInfo
, shark::CMAChromosome
, shark::HypervolumeCalculator
, shark::HypervolumeIndicator
, shark::ImageInformation
, shark::IndicatorBasedSelection< Indicator >
, shark::Individual< PointType, FitnessTypeT, Chromosome >
, shark::InvertedGenerationalDistance
, shark::MultiNomialDistribution
, shark::MultiplicativeEpsilonIndicator
, shark::MultiVariateNormalDistribution
, shark::MultiVariateNormalDistributionCholesky
, shark::PenalizingEvaluator
, shark::PolynomialMutator
, shark::ResultSet< SearchPointT, ResultT >
, shark::SimulatedBinaryCrossover< PointType >
, shark::statistics::ResultTable< Parameter >
, shark::UniformCrossover
, shark::ValidatedSingleObjectiveResultSet< SearchPointTypeT >
- set()
: shark::TypedFlags< Flag >
- set_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::diagonal_matrix< VectorType >
, 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::matrix_vector_range< M >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- set_filled()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
- set_row_filled()
: shark::blas::compressed_matrix< T, I >
- setAccuracy()
: shark::LassoRegression< InputVectorType >
- setAdaptive()
: shark::WeightedSumKernel< InputType >
- setAdaptiveAll()
: shark::WeightedSumKernel< InputType >
- setAll()
: shark::TypedFlags< Flag >
- setAlpha()
: shark::Cigar
, shark::CigarDiscus
, shark::Discus
, shark::GibbsOperator< RBMType >
- setAlphaStep()
: shark::TwoPointStepSizeAdaptation
- setBatchSize()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::MarkovChain< Operator >
, shark::MultiChainApproximator< MarkovChainType >
, shark::NoisyErrorFunction
, shark::TemperedMarkovChain< Operator >
- setBeta()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- setBounds()
: shark::BoxConstraintHandler< Vector >
- setBudgetMaintenanceStrategy()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- setBudgetSize()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- setC()
: shark::AbstractLinearSvmTrainer< InputType >
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
- setCacheSize()
: shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::OneClassSvmTrainer< InputType, CacheType >
- setCentroids()
: shark::Centroids
- setClassifierNorm()
: shark::MissingFeaturesKernelExpansion< InputType >
- setClassPrior()
: shark::NBClassifier< InputType, OutputType >
- setCovarianceMatrix()
: shark::MultiVariateNormalDistribution
, shark::MultiVariateNormalDistributionCholesky
- setData()
: shark::ContrastiveDivergence< Operator >
, shark::ExactGradient< RBMType >
, shark::MultiChainApproximator< MarkovChainType >
, shark::PCA
, shark::SingleChainApproximator< MarkovChainType >
- setDefaults()
: shark::RFTrainer
- setDefaultValue()
: shark::QpSparseArray< QpFloatType >
- setDegree()
: shark::PolynomialKernel< InputType >
- setDerivativeThreshold()
: shark::IRpropPlus
, shark::IRpropPlusFull
- setDimensionName()
: shark::statistics::ResultTable< Parameter >
- setDistanceWeightType()
: shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::SoftNearestNeighborClassifier< InputType >
- setEpochs()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
- setEpsilon()
: shark::EpsilonSvmTrainer< InputType, CacheType >
- setEtaMinus()
: shark::RpropMinus
- setEtaPlus()
: shark::RpropMinus
- setFactor()
: shark::ScaledKernel< InputType >
- setForestInfo()
: shark::RFClassifier
- setGamma()
: GaussianTaskKernel< InputTypeT >
, shark::GaussianRbfKernel< InputType >
, shark::RBFLayer
- setGammaVector()
: shark::ARDKernelUnconstrained< InputType >
- setHistCount()
: shark::LBFGS
- setInitialSigma()
: shark::CMA
, shark::CMSA
, shark::VDCMA
- setInputDimension()
: shark::CARTClassifier< LabelType >
, shark::RFClassifier
- setK()
: shark::ContrastiveDivergence< Operator >
, shark::MultiChainApproximator< MarkovChainType >
, shark::SingleChainApproximator< MarkovChainType >
- setKernel()
: shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelExpansion< InputType >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::OneClassSvmTrainer< InputType, CacheType >
- setLabelDimension()
: shark::RFClassifier
- setLabelOrder()
: shark::LabelOrder
- setLambda()
: shark::CMA
, shark::CMSA
, shark::LassoRegression< InputVectorType >
, shark::TruncatedExponential< RngType >
- setLayer()
: shark::FFNet< HiddenNeuron, OutputNeuron >
- setLearningRate()
: shark::SteepestDescent
, shark::TwoPointStepSizeAdaptation
- setLimits()
: shark::CircleInSquare
- setLinear()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxConstrainedShrinkingProblem< Problem >
, shark::SvmProblem< Problem >
, shark::SvmShrinkingProblem< Problem >
- setMask()
: shark::OneNormRegularizer
, shark::TwoNormRegularizer
- setMax()
: shark::TruncatedExponential< RngType >
- setMaxCachedIndex()
: shark::CachedMatrix< Matrix >
, shark::PrecomputedMatrix< Matrix >
- setMaxDelta()
: shark::RpropMinus
- setMaxIterations()
: shark::MaxIterations< ResultSet >
, shark::MissingFeatureSvmTrainer< InputType, CacheType >
, shark::QpConfig
- setMaxSeconds()
: shark::QpConfig
- setMinAccuracy()
: shark::QpConfig
- setMinDelta()
: shark::RpropMinus
- setMinLogValue()
: shark::SigmoidModel
- setMinMargin()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- setMixingRatio()
: shark::UniformCrossover
- setMomentum()
: shark::SteepestDescent
- setMTry()
: shark::RFTrainer
- setMu()
: shark::CMA
, shark::CMSA
- setNeighbors()
: shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::SoftNearestNeighborClassifier< InputType >
- setNodeSize()
: shark::RFTrainer
- setNoiseType()
: shark::CrossEntropyMethod
- setNoiseVariance()
: shark::RegularizationNetworkTrainer< InputType >
- setNormalTrainer()
: shark::DistTrainerContainer
- setNTrees()
: shark::RFTrainer
- setNu()
: shark::OneClassSvmTrainer< InputType, CacheType >
- setNumberOfFolds()
: shark::CARTTrainer
- setNumberOfObjectives()
: shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::DTLZ1
, shark::DTLZ2
, shark::DTLZ3
, shark::DTLZ4
, shark::DTLZ5
, shark::DTLZ6
, shark::DTLZ7
, shark::EvaluationArchive< PointType, ResultT >
- setNumberOfSamples()
: shark::MultiChainApproximator< MarkovChainType >
, shark::SingleChainApproximator< MarkovChainType >
- setNumberOfTemperatures()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- setNumberOfVariables()
: shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::Ackley
, shark::Cigar
, shark::CigarDiscus
, shark::CIGTAB1
, shark::CIGTAB2
, shark::ConstrainedSphere
, shark::DiffPowers
, shark::Discus
, shark::DTLZ1
, shark::DTLZ2
, shark::DTLZ3
, shark::DTLZ4
, shark::DTLZ5
, shark::DTLZ6
, shark::DTLZ7
, shark::ELLI1
, shark::ELLI2
, shark::Ellipsoid
, shark::Fonseca
, shark::GSP
, shark::IHR1
, shark::IHR2
, shark::IHR3
, shark::IHR4
, shark::IHR6
, shark::LZ1
, shark::LZ2
, shark::LZ3
, shark::LZ4
, shark::LZ5
, shark::LZ6
, shark::LZ7
, shark::LZ8
, shark::LZ9
, shark::OneNormRegularizer
, shark::Rosenbrock
, shark::RotatedObjectiveFunction
, shark::Schwefel
, shark::Sphere
, shark::TwoNormRegularizer
, shark::ZDT1
, shark::ZDT2
, shark::ZDT3
, shark::ZDT4
, shark::ZDT6
- setOffsetActivity()
: shark::SigmoidModel
- setOOBratio()
: shark::RFTrainer
- setOutputActivation()
: shark::OnlineRNNet
- setParameterVector()
: GaussianTaskKernel< InputTypeT >
, shark::AbstractLinearSvmTrainer< InputType >
, shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer >
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::BinaryLayer
, shark::BipolarLayer
, shark::CARTClassifier< LabelType >
, shark::Centroids
, shark::ClusteringModel< InputT, OutputT >
, shark::CMACMap
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::DiscreteKernel
, shark::EpsilonSvmTrainer< InputType, CacheType >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianLayer
, shark::GaussianNoiseModel
, shark::GaussianRbfKernel< InputType >
, shark::HierarchicalClustering< InputT >
, shark::ImpulseNoiseModel
, shark::IParameterizable
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelExpansion< InputType >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::LassoRegression< InputVectorType >
, shark::LDA
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, shark::LinearRegression
, shark::MeanModel< ModelType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NormalizedKernel< InputType >
, shark::Normalizer< DataType >
, shark::OneClassSvmTrainer< InputType, CacheType >
, shark::OneVersusOneClassifier< InputType >
, shark::OnlineRNNet
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RecurrentStructure
, shark::RFTrainer
, shark::RNNet
, shark::ScaledKernel< InputType >
, shark::SigmoidModel
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::ThresholdConverter
, shark::ThresholdVectorConverter
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::TruncatedExponentialLayer
, shark::WeightedSumKernel< InputType >
- setPrecision()
: shark::RegularizationNetworkTrainer< InputType >
- setProbability()
: shark::DropoutNeuron< Neuron >
- setRange()
: shark::DiscreteUniform< RngType >
, shark::Uniform< RngType >
- setRegularization()
: shark::LDA
, shark::LinearRegression
- setRegularizer()
: shark::ContrastiveDivergence< Operator >
, shark::ErrorFunction
, shark::ExactGradient< RBMType >
, shark::MultiChainApproximator< MarkovChainType >
, shark::NoisyErrorFunction
, shark::SingleChainApproximator< MarkovChainType >
, shark::SparseAutoencoderError
- setScalingCoefficients()
: shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::MissingFeaturesKernelExpansion< InputType >
- setShrinking()
: shark::BoxConstrainedShrinkingProblem< Problem >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
, shark::SvmShrinkingProblem< Problem >
- setSigma()
: shark::GaussianRbfKernel< InputType >
, shark::VDCMA
- setSigmoidType()
: shark::RecurrentStructure
- setSplitMatrix()
: shark::CARTClassifier< LabelType >
- setStepSize()
: shark::TwoPointStepSizeAdaptation
- setStochastic()
: shark::DropoutNeuron< Neuron >
- setStructure()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::CMACMap
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianNoiseModel
, shark::KernelExpansion< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, shark::Normalizer< DataType >
, shark::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RecurrentStructure
, shark::Softmax
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- setSubspaceDimensions()
: shark::FisherLDA
- setTargetValue()
: shark::QpConfig
- setThreshold()
: shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
- setThresholds()
: shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
- setTrainingParameters()
: shark::RBFLayer
- setUniformTemperatureSpacing()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- setVariance()
: shark::CrossEntropyMethod
- setWarmUpSequence()
: shark::RNNet
- setWeight()
: shark::MeanModel< ModelType >
- setWeights()
: shark::RecurrentStructure
- setWhitening()
: shark::FisherLDA
, shark::PCA
- setWidth()
: GaussianTaskKernel< InputTypeT >
- Shift()
: shark::Shift
- Shifter()
: shark::Shifter
- shrink()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxConstrainedShrinkingProblem< Problem >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
, shark::SvmProblem< Problem >
, shark::SvmShrinkingProblem< Problem >
- shrinking()
: shark::QpConfig
- shuffle()
: shark::LabeledData< InputT, LabelT >
, shark::UnlabeledData< InputT >
- sigma()
: GaussianTaskKernel< InputTypeT >
, shark::Cauchy< RngType >
, shark::CMA
, shark::ElitistCMA
, shark::GaussianRbfKernel< InputType >
, shark::JaakkolaHeuristic
, shark::LMCMA
, shark::VDCMA
- sigmoid()
: shark::SigmoidModel
, shark::SimpleSigmoidModel
, shark::TanhSigmoidModel
- sigmoidDerivative()
: shark::SigmoidModel
, shark::SimpleSigmoidModel
, shark::TanhSigmoidModel
- SigmoidFitRpropNLL()
: shark::SigmoidFitRpropNLL
- SigmoidModel()
: shark::SigmoidModel
- sigmoidType()
: shark::RecurrentStructure
- SimpleNearestNeighbors()
: shark::SimpleNearestNeighbors< InputType, LabelType >
- SimpleSigmoidModel()
: shark::SimpleSigmoidModel
- simplex()
: shark::SimplexDownhill
- SimplexDownhill()
: shark::SimplexDownhill
- SimulatedBinaryCrossover()
: shark::SimulatedBinaryCrossover< PointType >
- SingleChainApproximator()
: shark::SingleChainApproximator< MarkovChainType >
- SingleObjectiveResultSet()
: shark::SingleObjectiveResultSet< SearchPointTypeT >
- SinglePole()
: shark::SinglePole
- size()
: shark::BinaryLayer
, shark::BinaryTree< InputT >
, shark::BipolarLayer
, 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::BlockMatrix2x2< Matrix >
, shark::CachedMatrix< Matrix >
, shark::CVFolds< DatasetTypeT >
, shark::DataView< DatasetType >
, shark::DiscreteKernel
, shark::EvaluationArchive< PointType, ResultT >
, shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::GaussianKernelMatrix< T, CacheType >
, shark::GaussianLayer
, shark::KernelMatrix< InputType, CacheType >
, shark::LRUCache< T >
, shark::ModifiedKernelMatrix< InputType, CacheType >
, shark::MultiVariateNormalDistributionCholesky
, shark::PartlyPrecomputedMatrix< Matrix >
, shark::PrecomputedMatrix< Matrix >
, shark::RegularizedKernelMatrix< InputType, CacheType >
, shark::TruncatedExponentialLayer
- size1()
: 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_set< element_type >
, 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 >
- size2()
: 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_set< element_type >
, 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 >
- slopeIsExpEncoded()
: shark::SigmoidModel
- SMSEMOA()
: shark::SMSEMOA
- SoftClusteringModel()
: shark::SoftClusteringModel< InputT >
- Softmax()
: shark::Softmax
- softMembership()
: shark::AbstractClustering< InputT >
, shark::Centroids
- SoftNearestNeighborClassifier()
: shark::SoftNearestNeighborClassifier< InputType >
- solution()
: shark::AbstractMultiObjectiveOptimizer< PointTypeT >
, shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
, shark::AbstractSingleObjectiveOptimizer< PointType >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- solutionGradient()
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- solutionProperties()
: shark::QpConfig
- solve()
: shark::BiasSolver< Matrix >
, shark::BiasSolverSimplex< Matrix >
, shark::McPegasos< VectorType >
, shark::Pegasos< VectorType >
, shark::QpBoxLinear< InputT >
, shark::QpBoxLinear< CompressedRealVector >
, shark::QpMcDecomp< Matrix >
, shark::QpMcLinear< InputT >
, shark::QpSolver< Problem, SelectionStrategy >
- solve2D_box()
: shark::QpMcDecomp< Matrix >
- solve2D_triangle()
: shark::QpMcDecomp< Matrix >
- solveEdge()
: shark::QpMcDecomp< Matrix >
- solveForBias()
: shark::QpMcDecomp< Matrix >
- solveSMO()
: shark::QpMcDecomp< Matrix >
- solveSub()
: 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 >
- sparse_vector_adaptor()
: shark::blas::sparse_vector_adaptor< T, I >
- SparseAutoencoderError()
: shark::SparseAutoencoderError
- sparsify()
: shark::KernelExpansion< InputType >
, shark::QpConfig
- Sphere()
: shark::Sphere
- splice()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
, shark::UnlabeledData< InputT >
, shark::WeightedLabeledData< InputT, LabelT >
, shark::WeightedUnlabeledData< DataT >
- splitAttributeTables()
: shark::CARTTrainer
, shark::RFTrainer
- splitBatch()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- splitList()
: shark::BinaryTree< InputT >
- squaredDistanceLowerBound()
: shark::BinaryTree< InputT >
, shark::KDTree< InputT >
, shark::KHCTree< Container, CuttingAccuracy >
, shark::LCTree< VectorType, CuttingAccuracy >
- SquaredEpsilonHingeLoss()
: shark::SquaredEpsilonHingeLoss
- SquaredHingeCSvmTrainer()
: shark::SquaredHingeCSvmTrainer< InputType, CacheType >
- SquaredHingeLinearCSvmTrainer()
: shark::SquaredHingeLinearCSvmTrainer< InputType >
- SquaredHingeLoss()
: shark::SquaredHingeLoss
- SquaredLoss()
: shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::SquaredLoss< Sequence, Sequence >
- start()
: shark::blas::vector_range< V >
, shark::Timer
- start1()
: shark::blas::matrix_range< M >
, shark::blas::matrix_vector_range< M >
- start2()
: shark::blas::matrix_range< M >
, shark::blas::matrix_vector_range< M >
- state()
: shark::TwoStateSpace< State1, State2 >
- statisticName()
: shark::statistics::Statistics< Parameter >
- statistics()
: shark::statistics::BaseStatisticsObject
, shark::statistics::FractionMissing
, shark::statistics::Mean
, shark::statistics::Quantile
- Statistics()
: shark::statistics::Statistics< Parameter >
- statistics()
: shark::statistics::Variance
- SteepestDescent()
: shark::SteepestDescent
- step()
: shark::AbstractLineSearchOptimizer
, shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT >
, shark::CMA
, shark::CMSA
, shark::CrossEntropyMethod
, shark::ElitistCMA
, shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::GridSearch
, shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
, shark::IRpropMinus
, shark::IRpropPlus
, shark::IRpropPlusFull
, shark::LMCMA
, shark::MarkovChain< Operator >
, shark::NestedGridSearch
, shark::PointSearch
, shark::RpropMinus
, shark::RpropPlus
, shark::SimplexDownhill
, shark::SMSEMOA
, shark::SteepestDescent
, shark::TemperedMarkovChain< Operator >
, shark::TrustRegionNewton
, shark::VDCMA
- stepSize()
: shark::PopulationBasedStepSizeAdaptation
, shark::TwoPointStepSizeAdaptation
- stepVH()
: shark::GibbsOperator< RBMType >
- stop()
: shark::AbstractStoppingCriterion< ResultSetT >
, shark::GeneralizationLoss< PointType >
, shark::GeneralizationQuotient< PointType >
, shark::MaxIterations< ResultSet >
, shark::Timer
, shark::TrainingError< PointType >
, shark::TrainingProgress< PointType >
, shark::ValidatedStoppingCriterion
- stoppingCondition()
: shark::QpConfig
- storage()
: 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::matrix_vector_range< M >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- storeEnergyDifferences()
: shark::EnergyStoringTemperedMarkovChain< Operator >
- STRATEGY_REGISTRY()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- stride()
: shark::blas::dense_vector_adaptor< T >
, shark::blas::matrix_column< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_vector_range< M >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
- stride1()
: shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::matrix< T, L >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
- stride2()
: shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::matrix< T, L >
, shark::blas::matrix_range< M >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
- SubrangeKernel()
: shark::SubrangeKernel< InputType >
- subspaceDimensions()
: shark::FisherLDA
- sufficientStatistics()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::GaussianLayer
, shark::TruncatedExponentialLayer
- suggestLambda()
: shark::CMA
, shark::LMCMA
, shark::VDCMA
- suggestMu()
: shark::CMA
, shark::LMCMA
, shark::VDCMA
- suggestPopulationSize()
: shark::CrossEntropyMethod
- suggestSelectionSize()
: shark::CrossEntropyMethod
- supportsVariableInputSize()
: shark::AbstractKernelFunction< InputTypeT >
- SvmLogisticInterpretation()
: shark::SvmLogisticInterpretation< InputType >
- SvmProblem()
: shark::SvmProblem< Problem >
- SvmShrinkingProblem()
: shark::SvmShrinkingProblem< Problem >
- swap()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::diagonal_matrix< VectorType >
, shark::blas::matrix< T, L >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_set< element_type >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
- swap_columns()
: shark::blas::matrix_reference< M >
- swap_rows()
: shark::blas::matrix_reference< M >
- swapLineIndices()
: shark::LRUCache< T >