- n -
- n()
: shark::Binomial< RngType >
- name()
: GaussianTaskKernel< InputTypeT >
, MultiTaskKernel< InputTypeT >
, shark::AbsoluteLoss< VectorType >
, shark::AbstractBudgetMaintenanceStrategy< InputType >
, shark::Ackley
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::BFGS
, shark::CARTClassifier< LabelType >
, shark::CARTTrainer
, shark::Centroids
, shark::CG
, shark::Cigar
, shark::CigarDiscus
, shark::CIGTAB1
, shark::CIGTAB2
, shark::CMA
, shark::CMACMap
, shark::CMSA
, shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConstrainedSphere
, shark::ContrastiveDivergence< Operator >
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::CrossEntropy
, shark::CrossEntropyIndependent
, shark::CrossEntropyMethod::ConstantNoise
, shark::CrossEntropyMethod::INoiseType
, shark::CrossEntropyMethod::LinearNoise
, shark::CrossEntropyMethod
, shark::CrossValidationError< ModelTypeT, LabelTypeT >
, shark::CSvmDerivative< InputType, CacheType >
, shark::CSvmTrainer< InputType, CacheType >
, shark::DiffPowers
, shark::DiscreteKernel
, shark::DiscreteLoss
, shark::Discus
, shark::DTLZ1
, shark::DTLZ2
, shark::DTLZ3
, shark::DTLZ4
, shark::DTLZ5
, shark::DTLZ6
, shark::DTLZ7
, shark::ElitistCMA
, shark::ELLI1
, shark::ELLI2
, shark::Ellipsoid
, shark::EpsilonHingeLoss
, shark::EpsilonSvmTrainer< InputType, CacheType >
, shark::ErrorFunction
, shark::ExactGradient< RBMType >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::FisherLDA
, shark::Fonseca
, shark::GaussianNoiseModel
, shark::GaussianRbfKernel< InputType >
, shark::GridSearch
, shark::GruauPole
, shark::GSP
, shark::HardClusteringModel< InputT >
, shark::HierarchicalClustering< InputT >
, shark::Himmelblau
, shark::HingeLoss
, shark::HuberLoss
, shark::IHR1
, shark::IHR2
, shark::IHR3
, shark::IHR4
, shark::IHR6
, shark::ImpulseNoiseModel
, shark::INameable
, shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
, shark::IRpropMinus
, shark::IRpropPlus
, shark::IRpropPlusFull
, shark::KernelBasisDistance
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelClassifier< InputType >
, shark::KernelExpansion< InputType >
, shark::KernelMeanClassifier< InputType >
, shark::KernelSGDTrainer< InputType, CacheType >
, shark::KernelTargetAlignment< InputType, LabelType >
, shark::LabelOrder
, shark::LassoRegression< InputVectorType >
, shark::LBFGS
, shark::LDA
, shark::LinearClassifier< VectorType >
, shark::LinearCSvmTrainer< InputType >
, shark::LinearKernel< InputType >
, shark::LinearMcSvmADMTrainer< InputType >
, shark::LinearMcSvmATMTrainer< InputType >
, shark::LinearMcSvmATSTrainer< InputType >
, shark::LinearMcSvmCSTrainer< InputType >
, shark::LinearMcSvmLLWTrainer< InputType >
, shark::LinearMcSvmMMRTrainer< InputType >
, shark::LinearMcSvmOVATrainer< InputType >
, shark::LinearMcSvmReinforcedTrainer< InputType >
, shark::LinearMcSvmWWTrainer< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, shark::LinearRegression
, shark::LMCMA
, shark::LooError< ModelTypeT, LabelType >
, shark::LooErrorCSvm< InputType, CacheType >
, shark::LZ1
, shark::LZ2
, shark::LZ3
, shark::LZ4
, shark::LZ5
, shark::LZ6
, shark::LZ7
, shark::LZ8
, shark::LZ9
, shark::MarkovPole< HiddenNeuron, OutputNeuron >
, shark::McReinforcedSvmTrainer< InputType, CacheType >
, shark::McSvmADMTrainer< InputType, CacheType >
, shark::McSvmATMTrainer< InputType, CacheType >
, shark::McSvmATSTrainer< InputType, CacheType >
, shark::McSvmCSTrainer< InputType, CacheType >
, shark::McSvmLLWTrainer< InputType, CacheType >
, shark::McSvmMMRTrainer< InputType, CacheType >
, shark::McSvmOVATrainer< InputType, CacheType >
, shark::McSvmWWTrainer< InputType, CacheType >
, shark::MeanModel< ModelType >
, shark::MergeBudgetMaintenanceStrategy< InputType >
, shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
, shark::MergeBudgetMaintenanceStrategy< RealVector >
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::MissingFeatureSvmTrainer< InputType, CacheType >
, shark::MklKernel< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::MultiChainApproximator< MarkovChainType >
, shark::NBClassifier< InputType, OutputType >
, shark::NBClassifierTrainer< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NegativeAUC< LabelType, OutputType >
, shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
, shark::NegativeLogLikelihood
, shark::NegativeWilcoxonMannWhitneyStatistic< LabelType, OutputType >
, shark::NestedGridSearch
, shark::NoisyErrorFunction
, shark::NonMarkovPole
, shark::NormalizeComponentsUnitInterval< DataType >
, shark::NormalizeComponentsUnitVariance< DataType >
, shark::NormalizeComponentsWhitening
, shark::NormalizeComponentsZCA
, shark::NormalizedKernel< InputType >
, shark::NormalizeKernelUnitVariance< InputType >
, shark::Normalizer< DataType >
, shark::OneClassSvmTrainer< InputType, CacheType >
, shark::OneNormRegularizer
, shark::OneVersusOneClassifier< InputType >
, shark::OnlineRNNet
, shark::OptimizationTrainer< Model, LabelTypeT >
, shark::PCA
, shark::Perceptron< InputType >
, shark::PointSearch
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::ProjectBudgetMaintenanceStrategy< InputType >
, shark::ProjectBudgetMaintenanceStrategy< RealVector >
, shark::RadiusMarginQuotient< InputType, CacheType >
, shark::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RegularizationNetworkTrainer< InputType >
, shark::RemoveBudgetMaintenanceStrategy< InputType >
, shark::RFClassifier
, shark::RFTrainer
, shark::RNNet
, shark::Rosenbrock
, shark::RotatedObjectiveFunction
, shark::RpropMinus
, shark::RpropPlus
, shark::ScaledKernel< InputType >
, shark::Schwefel
, shark::SigmoidFitPlatt
, shark::SigmoidFitRpropNLL
, shark::SigmoidModel
, shark::SimpleSigmoidModel
, shark::SimplexDownhill
, shark::SingleChainApproximator< MarkovChainType >
, shark::SMSEMOA
, shark::SoftClusteringModel< InputT >
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::SparseAutoencoderError
, shark::Sphere
, shark::SquaredEpsilonHingeLoss
, shark::SquaredHingeCSvmTrainer< InputType, CacheType >
, shark::SquaredHingeLinearCSvmTrainer< InputType >
, shark::SquaredHingeLoss
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::SquaredLoss< Sequence, Sequence >
, shark::statistics::BaseStatisticsObject
, shark::statistics::FractionMissing
, shark::statistics::Mean
, shark::statistics::Median
, shark::statistics::Quantile
, shark::statistics::Variance
, shark::SteepestDescent
, shark::SubrangeKernel< InputType >
, shark::SvmLogisticInterpretation< InputType >
, shark::TanhSigmoidModel
, shark::ThresholdConverter
, shark::ThresholdVectorConverter
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::TrustRegionNewton
, shark::TukeyBiweightLoss
, shark::TwoNormRegularizer
, shark::VDCMA
, shark::WeightedSumKernel< InputType >
, shark::ZDT1
, shark::ZDT2
, shark::ZDT3
, shark::ZDT4
, shark::ZDT6
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- NBClassifier()
: shark::NBClassifier< InputType, OutputType >
- nc()
: shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::SMSEMOA
- NearestNeighborClassifier()
: shark::NearestNeighborClassifier< InputType >
- NearestNeighborRegression()
: shark::NearestNeighborRegression< InputType >
- NegativeAUC()
: shark::NegativeAUC< LabelType, OutputType >
- NegativeGaussianProcessEvidence()
: shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
- NegativeLogLikelihood()
: shark::NegativeLogLikelihood
- NegativeWilcoxonMannWhitneyStatistic()
: shark::NegativeWilcoxonMannWhitneyStatistic< LabelType, OutputType >
- NegExponential()
: shark::NegExponential< RngType >
- neighbors()
: shark::IterativeNNQuery< DataContainer >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::SoftNearestNeighborClassifier< InputType >
- NestedGridSearch()
: shark::NestedGridSearch
- neuron()
: shark::RecurrentStructure
- neuronDerivative()
: shark::RecurrentStructure
- neuronResponses()
: shark::FFNet< HiddenNeuron, OutputNeuron >
- next()
: shark::IterativeNNQuery< DataContainer >
- nextDepthLevel()
: shark::TreeConstruction
- nm()
: shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::SMSEMOA
- nnz()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_row< M >
, shark::blas::matrix_transpose< M >
, shark::blas::sparse_vector_adaptor< T, I >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector_reference< V >
- nnz_capacity()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_vector< T, I >
- noalias_proxy()
: shark::blas::noalias_proxy< C >
- nodes()
: shark::BinaryTree< InputT >
- noiseValue()
: shark::CrossEntropyMethod::ConstantNoise
, shark::CrossEntropyMethod::INoiseType
, shark::CrossEntropyMethod::LinearNoise
- noiseVariance()
: shark::RegularizationNetworkTrainer< InputType >
- NoisyErrorFunction()
: shark::NoisyErrorFunction
- non_zero()
: shark::blas::triangular_matrix< T, Orientation, TriangularType >
- NonMarkovPole()
: shark::NonMarkovPole
- Normal()
: shark::Normal< RngType >
- NormalDistributedPoints()
: shark::NormalDistributedPoints
- NormalizeComponentsUnitInterval()
: shark::NormalizeComponentsUnitInterval< DataType >
- NormalizeComponentsUnitVariance()
: shark::NormalizeComponentsUnitVariance< DataType >
- NormalizeComponentsWhitening()
: shark::NormalizeComponentsWhitening
- NormalizeComponentsZCA()
: shark::NormalizeComponentsZCA
- NormalizedKernel()
: shark::NormalizedKernel< InputType >
- NormalizeKernelUnitVariance()
: shark::NormalizeKernelUnitVariance< InputType >
- normalizeLabels()
: shark::LabelOrder
- Normalizer()
: shark::Normalizer< DataType >
- NormalTrainer()
: shark::NormalTrainer
- noSuccessfulOffspring()
: shark::CMAIndividual< FitnessType >
- notionOfSuccess()
: shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
- noVars()
: shark::DoublePole
, shark::SinglePole
- now()
: shark::Timer
- nu()
: shark::OneClassSvmTrainer< InputType, CacheType >
- numApproximatingVectors()
: shark::KernelBasisDistance
- numBatches()
: shark::ContrastiveDivergence< Operator >
, shark::MultiChainApproximator< MarkovChainType >
, shark::SingleChainApproximator< MarkovChainType >
- numberOfBatches()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- numberOfClasses()
: shark::OneVersusOneClassifier< InputType >
- numberOfClusters()
: shark::AbstractClustering< InputT >
, shark::Centroids
, shark::HierarchicalClustering< InputT >
- numberOfElements()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- numberOfHiddenNeurons()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- numberOfHN()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- numberOfModels()
: shark::MeanModel< ModelType >
- numberOfNeurons()
: shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::RecurrentStructure
- numberOfObjectives()
: shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::CIGTAB1
, shark::CIGTAB2
, shark::DTLZ1
, shark::DTLZ2
, shark::DTLZ3
, shark::DTLZ4
, shark::DTLZ5
, shark::DTLZ6
, shark::DTLZ7
, shark::ELLI1
, shark::ELLI2
, shark::EvaluationArchive< PointType, ResultT >
, 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::ZDT1
, shark::ZDT2
, shark::ZDT4
, shark::ZDT6
- numberOfParameters()
: 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::LinearModel< InputType >
, shark::LinearNorm
, shark::LinearRegression
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, 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::RNNet
, shark::ScaledKernel< InputType >
, shark::SigmoidModel
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::ThresholdConverter
, shark::ThresholdVectorConverter
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::TruncatedExponentialLayer
, shark::WeightedSumKernel< InputType >
- numberOfStates()
: shark::TwoStateSpace< State1, State2 >
- numberOfTasks()
: GaussianTaskKernel< InputTypeT >
- numberOfTemperatures()
: shark::EnergyStoringTemperedMarkovChain< Operator >
, shark::TemperedMarkovChain< Operator >
- numberOfUnits()
: shark::RecurrentStructure
- numberOfVariables()
: shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::Ackley
, shark::Cigar
, shark::CigarDiscus
, shark::CIGTAB1
, shark::CIGTAB2
, shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
, shark::ConstrainedSphere
, shark::ContrastiveDivergence< Operator >
, shark::CrossValidationError< ModelTypeT, LabelTypeT >
, 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::ErrorFunction
, shark::EvaluationArchive< PointType, ResultT >
, shark::ExactGradient< RBMType >
, shark::Fonseca
, shark::GruauPole
, shark::GSP
, shark::Himmelblau
, shark::IHR1
, shark::IHR2
, shark::IHR3
, shark::IHR4
, shark::IHR6
, shark::KernelBasisDistance
, shark::KernelTargetAlignment< InputType, LabelType >
, shark::LooError< ModelTypeT, LabelType >
, shark::LooErrorCSvm< InputType, CacheType >
, shark::LZ1
, shark::LZ2
, shark::LZ3
, shark::LZ4
, shark::LZ5
, shark::LZ6
, shark::LZ7
, shark::LZ8
, shark::LZ9
, shark::MarkovPole< HiddenNeuron, OutputNeuron >
, shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
, shark::MultiChainApproximator< MarkovChainType >
, shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
, shark::NegativeLogLikelihood
, shark::NoisyErrorFunction
, shark::NonMarkovPole
, shark::OneNormRegularizer
, shark::RadiusMarginQuotient< InputType, CacheType >
, shark::Rosenbrock
, shark::RotatedObjectiveFunction
, shark::Schwefel
, shark::SingleChainApproximator< MarkovChainType >
, shark::SparseAutoencoderError
, shark::Sphere
, shark::SvmLogisticInterpretation< InputType >
, shark::TwoNormRegularizer
, shark::ZDT1
, shark::ZDT2
, shark::ZDT3
, shark::ZDT4
, shark::ZDT6
- numberOfVN()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- numDimensions()
: shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- numFilters()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
- numParams()
: shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- numStatistics()
: shark::statistics::Statistics< Parameter >