Here is a list of all class members with links to the classes they belong to:
- e -
- eigenvalue()
: shark::PCA
- eigenValues()
: shark::CMA
, shark::MultiVariateNormalDistribution
- eigenvalues()
: shark::PCA
- eigenVectors()
: shark::CMA
, shark::MultiVariateNormalDistribution
- eigenvectors()
: shark::PCA
- elDiscriminativeMax
: shark::McPegasos< VectorType >
- elDiscriminativeSum
: shark::McPegasos< VectorType >
- element
: shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
, shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- element_range
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- element_reference
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- elements()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- ElementType
: shark::AbstractBudgetMaintenanceStrategy< InputType >
, shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::QpBoxLinear< InputT >
, shark::QpMcLinear< InputT >
- ElitistCMA()
: shark::ElitistCMA
- ell
: shark::LassoRegression< InputVectorType >
- ELLI1()
: shark::ELLI1
- ELLI2()
: shark::ELLI2
- Ellipsoid()
: shark::Ellipsoid
- elNaiveHinge
: shark::McPegasos< VectorType >
- eLossType
: shark::McPegasos< VectorType >
- elTotalMax
: shark::McPegasos< VectorType >
- elTotalSum
: shark::McPegasos< VectorType >
- emAbsolute
: shark::McPegasos< VectorType >
- eMarginType
: shark::McPegasos< VectorType >
- empty()
: shark::blas::vector< T >
, shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- emRelative
: shark::McPegasos< VectorType >
- encode()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- encoder()
: shark::PCA
- encoderMatrix()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- end()
: 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 >
- energy()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::Energy< RBM >
- Energy()
: shark::Energy< RBM >
- energy()
: shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- energyFromHiddenInput()
: shark::Energy< RBM >
- energyFromVisibleInput()
: shark::Energy< RBM >
- EnergyStoringTemperedMarkovChain()
: shark::EnergyStoringTemperedMarkovChain< Operator >
- energyTerm()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::GaussianLayer
, shark::TruncatedExponentialLayer
- EnergyType
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- ENSURE_UNION_BOUND
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- entry()
: 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 >::Row
, shark::RegularizedKernelMatrix< InputType, CacheType >
- EnumerationTag
: shark::RealSpace
, shark::TwoStateSpace< State1, State2 >
- epochs()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
, shark::KernelSGDTrainer< InputType, CacheType >
- epsilon()
: shark::EpsilonSvmTrainer< InputType, CacheType >
- EpsilonHingeLoss()
: shark::EpsilonHingeLoss
- EpsilonSvmTrainer()
: shark::EpsilonSvmTrainer< InputType, CacheType >
- EQUAL
: shark::CMA
- equalErrorRate()
: shark::ROC
- erase_element()
: shark::blas::dense_vector_adaptor< T >
- Erlang()
: shark::Erlang< RngType >
- Erlang_distribution()
: shark::Erlang_distribution< RealType >
- ErrorFunction()
: shark::ErrorFunction
- etaMax
: shark::LinearRankingSelection< Extractor >
- eval()
: shark::AbsoluteLoss< VectorType >
, shark::AbstractCost< LabelT, OutputT >
, shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::Ackley
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::CARTClassifier< LabelType >
, shark::Cigar
, shark::CigarDiscus
, shark::CIGTAB1
, shark::CIGTAB2
, shark::ClusteringModel< InputT, OutputT >
, shark::CMACMap
, shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConstrainedSphere
, shark::ConvexCombination
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::CrossEntropy
, shark::CrossEntropyIndependent
, shark::CrossValidationError< ModelTypeT, LabelTypeT >
, shark::DiffPowers
, shark::DiscreteKernel
, shark::DiscreteLoss
, shark::Discus
, shark::DTLZ1
, shark::DTLZ2
, shark::DTLZ3
, shark::DTLZ4
, shark::DTLZ5
, shark::DTLZ6
, shark::DTLZ7
, shark::ELLI1
, shark::ELLI2
, shark::Ellipsoid
, shark::EpsilonHingeLoss
, shark::ErrorFunction
, shark::EvaluationArchive< PointType, ResultT >
, shark::ExactGradient< RBMType >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::Fonseca
, shark::GaussianNoiseModel
, shark::GaussianRbfKernel< InputType >
, shark::GruauPole
, shark::GSP
, shark::HardClusteringModel< InputT >
, shark::Himmelblau
, shark::HingeLoss
, shark::HuberLoss
, shark::IHR1
, shark::IHR2
, shark::IHR3
, shark::IHR4
, shark::IHR6
, shark::ImpulseNoiseModel
, shark::KernelBasisDistance
, shark::KernelExpansion< InputType >
, shark::KernelTargetAlignment< InputType, LabelType >
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, 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::MeanModel< ModelType >
, shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NegativeAUC< LabelType, OutputType >
, shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
, shark::NegativeLogLikelihood
, shark::NegativeWilcoxonMannWhitneyStatistic< LabelType, OutputType >
, shark::NoisyErrorFunction
, shark::NonMarkovPole
, shark::NormalizedKernel< InputType >
, shark::Normalizer< DataType >
, shark::OneNormRegularizer
, shark::OneVersusOneClassifier< InputType >
, shark::OnlineRNNet
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::RadiusMarginQuotient< InputType, CacheType >
, shark::RBFLayer
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RNNet
, shark::Rosenbrock
, shark::RotatedObjectiveFunction
, shark::ScaledKernel< InputType >
, shark::Schwefel
, shark::SigmoidModel
, shark::SoftClusteringModel< InputT >
, shark::Softmax
, shark::SoftNearestNeighborClassifier< InputType >
, shark::SparseAutoencoderError
, shark::Sphere
, shark::SquaredEpsilonHingeLoss
, shark::SquaredHingeLoss
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::SquaredLoss< Sequence, Sequence >
, shark::SvmLogisticInterpretation< InputType >
, shark::ThresholdConverter
, shark::ThresholdVectorConverter
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
, shark::TukeyBiweightLoss
, shark::TwoNormRegularizer
, shark::WeightedSumKernel< InputType >
, shark::ZDT1
, shark::ZDT2
, shark::ZDT3
, shark::ZDT4
, shark::ZDT6
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- evalDerivative()
: shark::AbstractLoss< LabelT, OutputT >
, shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::CombinedObjectiveFunction< SearchSpaceType, ResultT >
, shark::ContrastiveDivergence< Operator >
, shark::CrossEntropy
, shark::CrossEntropyIndependent
, shark::Ellipsoid
, shark::EpsilonHingeLoss
, shark::ErrorFunction
, shark::EvaluationArchive< PointType, ResultT >
, shark::ExactGradient< RBMType >
, shark::HingeLoss
, shark::HuberLoss
, shark::KernelBasisDistance
, shark::KernelTargetAlignment< InputType, LabelType >
, shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
, shark::MultiChainApproximator< MarkovChainType >
, shark::NegativeGaussianProcessEvidence< InputType, OutputType, LabelType >
, shark::NegativeLogLikelihood
, shark::NoisyErrorFunction
, shark::OneNormRegularizer
, shark::RadiusMarginQuotient< InputType, CacheType >
, shark::Rosenbrock
, shark::SingleChainApproximator< MarkovChainType >
, shark::SparseAutoencoderError
, shark::SquaredEpsilonHingeLoss
, shark::SquaredHingeLoss
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::SquaredLoss< Sequence, Sequence >
, shark::SvmLogisticInterpretation< InputType >
, shark::TukeyBiweightLoss
, shark::TwoNormRegularizer
- evalLayer()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- evalPattern()
: shark::CARTClassifier< LabelType >
- evaluation_category
: 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_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 >
- EvaluationArchive()
: shark::EvaluationArchive< PointType, ResultT >
- evaluationCounter()
: shark::AbstractObjectiveFunction< PointType, ResultT >
- evaluationType()
: shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
- evolutionPath()
: shark::CMA
, shark::LMCMA
, shark::VDCMA
- evolutionPathSigma()
: shark::CMA
, shark::VDCMA
- ExactGradient()
: shark::ExactGradient< RBMType >
- example
: shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >::Variable
- ExampleModifiedKernelMatrix()
: shark::ExampleModifiedKernelMatrix< InputType, CacheType >
- examples
: shark::QpMcDecomp< Matrix >
- Exception()
: shark::Exception
- expectedParameterDerivative()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::GaussianLayer
, shark::TruncatedExponentialLayer
- expectedPhiValue()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::GaussianLayer
, shark::TruncatedExponentialLayer
- expression()
: 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::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 >
- expression1()
: shark::blas::vector_addition< E1, E2 >
, shark::blas::vector_binary< E1, E2, F >
- expression2()
: shark::blas::vector_addition< E1, E2 >
, shark::blas::vector_binary< E1, E2, F >