- d -
- dampingFactor()
: shark::PopulationBasedStepSizeAdaptation
- data()
: shark::BarsAndStripes
- Data()
: shark::Data< Type >
- data()
: shark::DistantModes
, shark::MNIST
, shark::Shifter
- dataset()
: shark::AbstractNearestNeighbors< InputType, LabelType >
, shark::CVFolds< DatasetTypeT >
, shark::DataView< DatasetType >
, shark::SimpleNearestNeighbors< InputType, LabelType >
, shark::TreeNearestNeighbors< InputType, LabelType >
- DataView()
: shark::DataView< DatasetType >
- deactivateExample()
: shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
- deactivateVariable()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxConstrainedShrinkingProblem< Problem >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
, shark::SvmProblem< Problem >
- decisionFunction()
: shark::ArgMaxConverter< Model >
- decode()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- decoder()
: shark::PCA
- decoderMatrix()
: shark::Autoencoder< HiddenNeuron, OutputNeuron >
, shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >
- DEFAULT_GAMMA()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_MAX_NUM_SAMPLES()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_MINIMUM_MULTIPLIER_DELTA()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_MULTIPLIER_DELTA()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_SAMPLE_THRESHOLD()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_START_DELTA()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- DEFAULT_STRATEGY()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- defineBalancedCost()
: shark::DiscreteLoss
- defineCostMatrix()
: shark::DiscreteLoss
- degrad()
: shark::SinglePole
- degree()
: shark::PolynomialKernel< InputType >
- deltaForPoint()
: shark::LeastContributorApproximator< Rng, ExactHypervolume >
- dense_matrix_adaptor()
: shark::blas::dense_matrix_adaptor< T, Orientation >
- dense_vector_adaptor()
: shark::blas::dense_vector_adaptor< T >
- diagonal()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::Normalizer< DataType >
, shark::SvmProblem< Problem >
- diagonal_matrix()
: shark::blas::diagonal_matrix< VectorType >
- DiagonalWithCircle()
: shark::DiagonalWithCircle
- diffGeom()
: shark::BaseRng< RNG >
- DiffGeometric()
: shark::DiffGeometric< RngType >
- DiffGeometric_distribution()
: shark::DiffGeometric_distribution< IntType, RealType >
- DiffPowers()
: shark::DiffPowers
- dimension()
: shark::Centroids
- dimensionName()
: shark::statistics::ResultTable< Parameter >
, shark::statistics::Statistics< Parameter >
- dimensions()
: shark::BoxConstrainedProblem< SVMProblem >
, shark::BoxConstraintHandler< Vector >
, shark::BoxedSVMProblem< MatrixT >
, shark::CSVMProblem< MatrixT >
, shark::GeneralQuadraticProblem< MatrixT >
, shark::QpMcBoxDecomp< Matrix >
, shark::QpMcSimplexDecomp< Matrix >
, shark::SvmProblem< Problem >
- dir()
: shark::BaseRng< RNG >
- Dirichlet()
: shark::Dirichlet< RngType >
- Dirichlet_distribution()
: shark::Dirichlet_distribution< RealType >
- discrete()
: shark::BaseRng< RNG >
- DiscreteKernel()
: shark::DiscreteKernel
- DiscreteLoss()
: shark::DiscreteLoss
- DiscreteUniform()
: shark::DiscreteUniform< RngType >
- Discus()
: shark::Discus
- distanceFromPlane()
: shark::BinaryTree< InputT >
- distances()
: shark::Centroids
- DistantModes()
: shark::DistantModes
- Divide()
: shark::Divide
- divide_assign()
: shark::blas::matrix_set< element_type >
- doInit()
: shark::CMA
, shark::CMSA
, shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
, shark::SMSEMOA
- DoublePole()
: shark::DoublePole
- draw()
: shark::Chessboard
, shark::CircleInSquare
, shark::DataDistribution< InputType >
, shark::DiagonalWithCircle
, shark::ImagePatches
, shark::LabeledDataDistribution< InputType, LabelType >
, shark::NormalDistributedPoints
, shark::PamiToy
, shark::Wave
- DropoutNeuron()
: shark::DropoutNeuron< Neuron >
- DTLZ1()
: shark::DTLZ1
- DTLZ2()
: shark::DTLZ2
- DTLZ3()
: shark::DTLZ3
- DTLZ4()
: shark::DTLZ4
- DTLZ5()
: shark::DTLZ5
- DTLZ6()
: shark::DTLZ6
- DTLZ7()
: shark::DTLZ7