- o -
- objective()
: shark::EvaluationArchive< PointType, ResultT >
- offset()
: shark::KernelExpansion< InputType >
, shark::LinearModel< InputType >
, shark::Normalizer< DataType >
- OneClassSvmTrainer()
: shark::OneClassSvmTrainer< InputType, CacheType >
- OneNormRegularizer()
: shark::OneNormRegularizer
- OneVersusOneClassifier()
: shark::OneVersusOneClassifier< InputType >
- OnlineRNNet()
: shark::OnlineRNNet
- OOBerror()
: shark::CARTClassifier< LabelType >
, shark::RFClassifier
- operator &()
: shark::TypedFlags< Flag >
- operator const_reference()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
- operator!=()
: shark::blas::compressed_vector< T, I >::reference
- operator()()
: shark::AbstractCost< LabelT, OutputT >
, shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::AbstractObjectiveFunction< PointType, ResultT >
, shark::AdditiveEpsilonIndicator
, shark::BaseFastNonDominatedSort< Extractor >
, shark::Bernoulli< RngType >
, shark::Binomial< RngType >
, shark::BitflipMutator
, 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_container< C >
, shark::blas::matrix_expression< E >
, 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_set_expression< E >
, 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_container< C >
, shark::blas::vector_expression< E >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
, shark::blas::vector_repeater< V >
, shark::blas::vector_scalar_multiply< E >
, shark::blas::vector_set_expression< E >
, shark::blas::vector_unary< E, F >
, shark::BlockMatrix2x2< Matrix >
, shark::BoundingBoxComputer< Set >
, shark::BoundingBoxComputer< Set >::VolumeComparator
, shark::CachedMatrix< Matrix >
, shark::Cauchy< RngType >
, shark::DataDistribution< InputType >
, shark::DiffGeometric< RngType >
, shark::DiffGeometric_distribution< IntType, RealType >
, shark::Dirichlet< RngType >
, shark::Dirichlet_distribution< RealType >
, shark::DiscreteUniform< RngType >
, shark::Divide
, shark::ElitistSelection< Extractor >
, shark::EPTournamentSelection< Extractor >
, shark::Erlang< RngType >
, shark::Erlang_distribution< RealType >
, shark::EvaluationArchive< PointType, ResultT >
, shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::FitnessExtractor
, shark::Gamma< RngType >
, shark::Gamma_distribution< RealType >
, shark::GaussianKernelMatrix< T, CacheType >
, shark::Geometric< RngType >
, shark::HMGSelectionCriterion
, shark::HyperGeometric< RngType >
, shark::HyperGeometric_distribution< IntType, RealType >
, shark::HypervolumeApproximator< Rng >
, shark::HypervolumeCalculator
, shark::HypervolumeIndicator
, shark::IdentityFitnessExtractor
, shark::IndicatorBasedSelection< Indicator >
, shark::Individual< PointType, FitnessTypeT, Chromosome >::FitnessOrdering
, shark::Individual< PointType, FitnessTypeT, Chromosome >::RankOrdering
, shark::InvertedGenerationalDistance
, shark::KernelMatrix< InputType, CacheType >
, shark::LabeledDataDistribution< InputType, LabelType >
, shark::LeastContributorApproximator< Rng, ExactHypervolume >::IdentityFitnessExtractor
, shark::LibSVMSelectionCriterion
, shark::LinearRankingSelection< Extractor >
, shark::LineSearch
, shark::LogNormal< RngType >
, shark::MaximumGainCriterion
, shark::MaximumGradientCriterion
, shark::ModifiedKernelMatrix< InputType, CacheType >
, shark::MultiNomialDistribution
, shark::MultiplicativeEpsilonIndicator
, shark::Multiply
, shark::MultiVariateNormalDistribution
, shark::MultiVariateNormalDistributionCholesky
, shark::MVPSelectionCriterion
, shark::NegExponential< RngType >
, shark::Normal< RngType >
, shark::OnePointCrossover
, shark::ParetoDominanceComparator< Extractor >
, shark::PartlyPrecomputedMatrix< Matrix >
, shark::PenalizingEvaluator
, shark::Poisson< RngType >
, shark::PolynomialMutator
, shark::PrecomputedMatrix< Matrix >
, shark::QpMcBoxDecomp< Matrix >::PreferedSelectionStrategy
, shark::QpMcSimplexDecomp< Matrix >::PreferedSelectionStrategy
, shark::QpSparseArray< QpFloatType >
, shark::RegularizedKernelMatrix< InputType, CacheType >
, shark::RouletteWheelSelection
, shark::Sampler< Rng >
, shark::Shift
, shark::SimulatedBinaryCrossover< PointType >
, shark::TournamentSelection< Predicate >
, shark::Truncate
, shark::TruncateAndRescale
, shark::TruncatedExponential< RngType >
, shark::TruncatedExponential_distribution< RealType >
, shark::Uniform< RngType >
, shark::UniformCrossover
, shark::UniformRankingSelection
, shark::Weibull< RngType >
, shark::Weibull_distribution< RealType >
, shark::WilcoxonRankSumTest
, shark::WS2MaximumGradientCriterion
- operator*()
: shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::ScopedHandle< T >
- operator*=()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::matrix_set< element_type >
, shark::blas::noalias_proxy< C >
- operator++()
: shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- operator+=()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::matrix_set< element_type >
, shark::blas::noalias_proxy< C >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- operator-()
: shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- operator--()
: shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- operator-=()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::matrix_set< element_type >
, shark::blas::noalias_proxy< C >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- operator/=()
: shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::matrix_set< element_type >
, shark::blas::noalias_proxy< C >
- operator<()
: shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::CARTTrainer::TableEntry
, shark::EvaluationArchive< PointType, ResultT >::PointResultPairType
, shark::KeyValuePair< Key, Value >
, shark::WilcoxonRankSumTest::Element
- operator=()
: shark::blas::compressed_matrix< T, I >
, shark::blas::compressed_matrix< T, I >::reference
, shark::blas::compressed_vector< T, I >
, shark::blas::compressed_vector< T, I >::reference
, shark::blas::dense_matrix_adaptor< T, Orientation >
, shark::blas::dense_vector_adaptor< T >
, shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, 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_set< element_type >
, shark::blas::matrix_transpose< M >
, shark::blas::matrix_vector_range< M >
, shark::blas::noalias_proxy< C >
, shark::blas::permutation_matrix
, shark::blas::temporary_proxy< P >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >
, shark::blas::vector< T >
, shark::blas::vector_range< V >
, shark::blas::vector_reference< V >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvexCombination
, shark::ErrorFunction
, shark::LinearModel< InputType >
, shark::NoisyErrorFunction
, shark::Normalizer< DataType >
, shark::SparseAutoencoderError
, shark::TypedFlags< Flag >
, shark::UnlabeledData< InputT >
- operator==()
: shark::blas::compressed_vector< T, I >::reference
, shark::blas::diagonal_matrix< VectorType >::const_row_iterator
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::EvaluationArchive< PointType, ResultT >::PointResultPairType
, shark::KeyValuePair< Key, Value >
- operator[]()
: 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::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
, shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
, shark::blas::vector< T >
, shark::blas::vector_addition< E1, E2 >
, shark::blas::vector_binary< E1, E2, F >
, shark::blas::vector_reference< V >
, shark::blas::vector_scalar_multiply< E >
, shark::blas::vector_unary< E, F >
, shark::DataView< DatasetType >
, shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- operator|()
: shark::TypedFlags< Flag >
- operator|=()
: shark::TypedFlags< Flag >
- OptimizationTrainer()
: shark::OptimizationTrainer< Model, LabelTypeT >
- optimizeFirstModelParameters()
: shark::ConcatenatedModel< InputType, OutputType >
- optimizeSecondModelParameters()
: shark::ConcatenatedModel< InputType, OutputType >
- optimizeSplitMatrix()
: shark::CARTClassifier< LabelType >
- originalIndex()
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- outer_indices()
: shark::blas::compressed_matrix< T, I >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
- outer_indices_end()
: shark::blas::compressed_matrix< T, I >
, shark::blas::matrix_reference< M >
, shark::blas::matrix_transpose< M >
- outer_product()
: shark::blas::outer_product< E1, E2 >
- outputActivationFunction()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- outputBias()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- outputs()
: shark::RecurrentStructure
- outputSize()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::CMACMap
, shark::ConvexCombination
, shark::FFNet< HiddenNeuron, OutputNeuron >
, shark::GaussianNoiseModel
, shark::ImpulseNoiseModel
, shark::KernelExpansion< InputType >
, shark::LinearModel< InputType >
, shark::LinearNorm
, shark::Normalizer< DataType >
, shark::OnlineRNNet
, shark::RBFLayer
, shark::RNNet
, shark::SigmoidModel
, shark::Softmax
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >