- A
- AbsoluteLoss (shark)
- AbstractBudgetMaintenanceStrategy (shark)
- AbstractClustering (shark)
- AbstractConstraintHandler (shark)
- AbstractCost (shark)
- AbstractKernelFunction (shark)
- AbstractLinearSvmTrainer (shark)
- AbstractLineSearchOptimizer (shark)
- AbstractLoss (shark)
- AbstractMetric (shark)
- AbstractModel (shark)
- AbstractMultiObjectiveOptimizer (shark)
- AbstractNearestNeighbors (shark)
- AbstractObjectiveFunction (shark)
- AbstractOptimizer (shark)
- AbstractSingleObjectiveOptimizer (shark)
- AbstractStoppingCriterion (shark)
- AbstractSvmTrainer (shark)
- AbstractTrainer (shark)
- AbstractUnsupervisedTrainer (shark)
- AbstractWeightedTrainer (shark)
- AbstractWeightedUnsupervisedTrainer (shark)
- Ackley (shark::benchmarks)
- Adam (shark)
- AdditiveEpsilonIndicator (shark)
- ARDKernelUnconstrained (shark)
- B
- BarsAndStripes (shark)
- BaseDCNonDominatedSort (shark)
- BaseStatisticsObject (shark::statistics)
- Batch (shark)
- Batch< blas::vector< T, Device > > (shark)
- Batch< detail::MatrixRowReference< M > > (shark)
- Batch< shark::blas::compressed_vector< T > > (shark)
- Batch< WeightedDataPair< DataType, WeightType > > (shark)
- BatchTraits (shark)
- BatchTraits< blas::compressed_matrix< T > > (shark)
- BatchTraits< blas::dense_matrix_adaptor< T, blas::row_major, Tag, Device > > (shark)
- BatchTraits< blas::matrix< T, blas::row_major, Device > > (shark)
- BatchTraits< WeightedDataBatch< DataType, WeightType > > (shark)
- BFGS (shark)
- BiasSolver (shark)
- BiasSolverSimplex (shark)
- BinaryLayer (shark)
- BinaryTree (shark)
- BipolarLayer (shark)
- BitflipMutator (shark)
- BlockMatrix2x2 (shark)
- BoxBasedShrinkingStrategy (shark)
- BoxConstrainedProblem (shark)
- BoxConstrainedShrinkingProblem (shark)
- BoxConstraintHandler (shark)
- BoxedSVMProblem (shark)
- C
- CachedMatrix (shark)
- CanBeCalled (shark)
- CanBeCalled< R(*)(T), Argument > (shark)
- CanBeCalled< R(T), Argument > (shark)
- CARTree (shark)
- Centroids (shark)
- CG (shark)
- Chessboard (shark)
- Cigar (shark::benchmarks)
- CigarDiscus (shark::benchmarks)
- CIGTAB1 (shark::benchmarks)
- CIGTAB2 (shark::benchmarks)
- CircleInSquare (shark)
- Classifier (shark)
- ClusteringModel (shark)
- CMA (shark)
- CMAChromosome (shark)
- CMACMap (shark)
- CMAIndividual (shark)
- CMSA (shark)
- CombinedObjectiveFunction (shark)
- ConcatenatedModel (shark)
- CrossEntropyMethod::ConstantNoise (shark)
- ConstProxyReference (shark)
- ConstrainedSphere (shark::benchmarks)
- ContrastiveDivergence (shark)
- Conv2DModel (shark)
- CrossEntropy (shark)
- CrossEntropy< blas::vector< T, Device >, blas::vector< T, Device > > (shark)
- CrossEntropy< unsigned int, OutputType > (shark)
- CrossEntropyMethod (shark)
- CrossValidationError (shark)
- CrowdingDistance (shark)
- CSvmDerivative (shark)
- CSVMProblem (shark)
- CSvmTrainer (shark)
- CVFolds (shark)
- D
- Data (shark)
- DataDistribution (shark)
- DataView (shark)
- DiagonalWithCircle (shark)
- DifferenceKernelMatrix (shark)
- DiffPowers (shark::benchmarks)
- DiscreteKernel (shark)
- DiscreteLoss (shark)
- DiscreteSpace (shark::tags)
- Discus (shark::benchmarks)
- DistantModes (shark)
- DoublePole (shark)
- DropoutLayer (shark)
- DTLZ1 (shark::benchmarks)
- DTLZ2 (shark::benchmarks)
- DTLZ3 (shark::benchmarks)
- DTLZ4 (shark::benchmarks)
- DTLZ5 (shark::benchmarks)
- DTLZ6 (shark::benchmarks)
- DTLZ7 (shark::benchmarks)
- E
- ElitistCMA (shark)
- ElitistSelection (shark)
- ELLI1 (shark::benchmarks)
- ELLI2 (shark::benchmarks)
- Ellipsoid (shark::benchmarks)
- EmptyState (shark)
- Energy (shark)
- EnergyStoringTemperedMarkovChain (shark)
- Ensemble (shark)
- QpSparseArray::Entry (shark)
- EpsilonHingeLoss (shark)
- EpsilonSvmTrainer (shark)
- EPTournamentSelection (shark)
- ErrorFunction (shark)
- EvaluationArchive (shark)
- ExactGradient (shark)
- QpMcBoxDecomp::Example (shark)
- QpMcSimplexDecomp::Example (shark)
- ExampleModifiedKernelMatrix (shark)
- Exception (shark)
- F
- FastSigmoidNeuron (shark)
- FisherLDA (shark)
- Individual::FitnessOrdering (shark)
- Fonseca (shark::benchmarks)
- FractionMissing (shark::statistics)
- G
- GaussianKernelMatrix (shark)
- GaussianLayer (shark)
- GaussianRbfKernel (shark)
- GaussianTaskKernel (shark)
- GeneralizationLoss (shark)
- GeneralizationQuotient (shark)
- GeneralQuadraticProblem (shark)
- GibbsOperator (shark)
- GridSearch (shark)
- GSP (shark::benchmarks)
- H
- HardClusteringModel (shark)
- HierarchicalClustering (shark)
- Himmelblau (shark::benchmarks)
- HingeLoss (shark)
- HMGSelectionCriterion (shark)
- HuberLoss (shark)
- HypervolumeApproximator (shark)
- HypervolumeCalculator (shark)
- HypervolumeCalculator2D (shark)
- HypervolumeCalculator3D (shark)
- HypervolumeCalculatorMDHOY (shark)
- HypervolumeCalculatorMDWFG (shark)
- HypervolumeContribution (shark)
- HypervolumeContribution2D (shark)
- HypervolumeContribution3D (shark)
- HypervolumeContributionApproximator (shark)
- HypervolumeContributionMD (shark)
- HypervolumeIndicator (shark)
- HypervolumeSubsetSelection2D (shark)
- I
- IHR1 (shark::benchmarks)
- IHR2 (shark::benchmarks)
- IHR3 (shark::benchmarks)
- IHR4 (shark::benchmarks)
- IHR6 (shark::benchmarks)
- ImagePatches (shark)
- INameable (shark)
- IndexedIterator (shark)
- IndexingIterator (shark)
- IndicatorBasedMOCMA (shark)
- IndicatorBasedRealCodedNSGAII (shark)
- IndicatorBasedSelection (shark)
- IndicatorBasedSteadyStateMOCMA (shark)
- Individual (shark)
- CrossEntropyMethod::INoiseType (shark)
- IParameterizable (shark)
- ISerializable (shark)
- IterativeNNQuery (shark)
- J
- JaakkolaHeuristic (shark)
- K
- KDTree (shark)
- KernelBudgetedSGDTrainer (shark)
- KernelClassifier (shark)
- KernelExpansion (shark)
- KernelMatrix (shark)
- KernelMeanClassifier (shark)
- KernelSGDTrainer (shark)
- KernelTargetAlignment (shark)
- KeyValuePair (shark)
- KHCTree (shark)
- L
- LabeledData (shark)
- LabeledDataDistribution (shark)
- LabelOrder (shark)
- LassoRegression (shark)
- LBFGS (shark)
- LCTree (shark)
- LDA (shark)
- LibSVMSelectionCriterion (shark)
- LinearClassifier (shark)
- LinearCSvmTrainer (shark)
- LinearKernel (shark)
- LinearModel (shark)
- LinearNeuron (shark)
- CrossEntropyMethod::LinearNoise (shark)
- LinearRankingSelection (shark)
- LinearRegression (shark)
- LinearSAGTrainer (shark)
- LineSearch (shark)
- LMCMA (shark)
- LogisticNeuron (shark)
- LogisticRegression (shark)
- LooError (shark)
- LooErrorCSvm (shark)
- LowerQuantile (shark::statistics)
- LRUCache (shark)
- LZ1 (shark::benchmarks)
- LZ2 (shark::benchmarks)
- LZ3 (shark::benchmarks)
- LZ4 (shark::benchmarks)
- LZ5 (shark::benchmarks)
- LZ6 (shark::benchmarks)
- LZ7 (shark::benchmarks)
- LZ8 (shark::benchmarks)
- LZ9 (shark::benchmarks)
- M
- MarkovChain (shark)
- MarkovPole (shark::benchmarks)
- MaximumGainCriterion (shark)
- MaximumGradientCriterion (shark)
- MaxIterations (shark)
- McPegasos (shark)
- Mean (shark::statistics)
- Median (shark::statistics)
- MergeBudgetMaintenanceStrategy (shark)
- MergeBudgetMaintenanceStrategy< RealVector > (shark)
- MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction (shark)
- MissingFeaturesKernelExpansion (shark)
- MissingFeatureSvmTrainer (shark)
- MklKernel (shark)
- MNIST (shark)
- ModelKernel (shark)
- ModifiedKernelMatrix (shark)
- MOEAD (shark)
- MonomialKernel (shark)
- MultiChainApproximator (shark)
- MultiNomialDistribution (shark)
- MultiObjectiveBenchmark (shark::benchmarks)
- MultiTaskKernel (shark)
- MultiTaskSample (shark)
- MultiVariateNormalDistribution (shark)
- MultiVariateNormalDistributionCholesky (shark)
- MVPSelectionCriterion (shark)
- N
- NearestNeighborModel (shark)
- NearestNeighborModel< InputType, unsigned int > (shark)
- NegativeAUC (shark)
- NegativeGaussianProcessEvidence (shark)
- NegativeLogLikelihood (shark)
- NegativeWilcoxonMannWhitneyStatistic (shark)
- NestedGridSearch (shark)
- NeuronLayer (shark)
- CARTree::Node (shark)
- NonMarkovPole (shark::benchmarks)
- NormalDistributedPoints (shark)
- NormalizeComponentsUnitInterval (shark)
- NormalizeComponentsUnitVariance (shark)
- NormalizeComponentsWhitening (shark)
- NormalizeComponentsZCA (shark)
- NormalizedKernel (shark)
- NormalizeKernelUnitVariance (shark)
- Normalizer (shark)
- NormalizerNeuron (shark)
- NSGA3Indicator (shark)
- O
- OneClassSvmTrainer (shark)
- OneNormRegularizer (shark)
- OnePointCrossover (shark)
- OneVersusOneClassifier (shark)
- OptimizationTrainer (shark)
- P
- PamiToy (shark)
- PartiallyMappedCrossover (shark)
- PartlyPrecomputedMatrix (shark)
- PCA (shark)
- Pegasos (shark)
- PenalizingEvaluator (shark)
- Perceptron (shark)
- HypervolumeContributionApproximator::Point (shark)
- EvaluationArchive::PointResultPairType (shark)
- PointSearch (shark)
- PointSetKernel (shark)
- PolynomialKernel (shark)
- PolynomialMutator (shark)
- PoolingLayer (shark)
- PopulationBasedStepSizeAdaptation (shark)
- PrecomputedMatrix (shark)
- QpMcBoxDecomp::PreferedSelectionStrategy (shark)
- QpMcSimplexDecomp::PreferedSelectionStrategy (shark)
- ProductKernel (shark)
- ProjectBudgetMaintenanceStrategy (shark)
- ProjectBudgetMaintenanceStrategy< RealVector > (shark)
- ProxyIterator (shark)
- Q
- QpBoxLinear (shark)
- QpConfig (shark)
- QpMcBoxDecomp (shark)
- QpMcLinear (shark)
- QpMcLinearADM (shark)
- QpMcLinearATM (shark)
- QpMcLinearATS (shark)
- QpMcLinearCS (shark)
- QpMcLinearLLW (shark)
- QpMcLinearMMR (shark)
- QpMcLinearReinforced (shark)
- QpMcLinearWW (shark)
- QpMcSimplexDecomp (shark)
- QpSolutionProperties (shark)
- QpSolver (shark)
- QpSparseArray (shark)
- QpStoppingCondition (shark)
- Quantile (shark::statistics)
- R
- RadiusMarginQuotient (shark)
- RankingSvmTrainer (shark)
- Individual::RankOrdering (shark)
- RBFLayer (shark)
- RBM (shark)
- RealCodedNSGAIII (shark)
- RealSpace (shark)
- RealSpace (shark::tags)
- RectifierNeuron (shark)
- ReferenceVectorAdaptation (shark)
- ReferenceVectorGuidedSelection (shark)
- RegularizationNetworkTrainer (shark)
- RegularizedKernelMatrix (shark)
- RemoveBudgetMaintenanceStrategy (shark)
- ResizeLayer (shark)
- RadiusMarginQuotient::Result (shark)
- ResultSet (shark)
- ResultTable (shark::statistics)
- RFClassifier (shark)
- RFTrainer (shark)
- RFTrainer< RealVector > (shark)
- RFTrainer< unsigned int > (shark)
- ROC (shark)
- Rosenbrock (shark::benchmarks)
- RotatedObjectiveFunction (shark::benchmarks)
- RouletteWheelSelection (shark)
- QpSparseArray::Row (shark)
- Rprop (shark)
- RVEA (shark)
- S
- ScaledKernel (shark)
- Schwefel (shark::benchmarks)
- AbstractObjectiveFunction::SecondOrderDerivative (shark)
- Shape (shark)
- Shark (shark)
- Shifter (shark)
- SimpleNearestNeighbors (shark)
- SimplexDownhill (shark)
- SimulatedBinaryCrossover (shark)
- SingleChainApproximator (shark)
- SingleObjectiveResultSet (shark)
- SinglePole (shark)
- SMSEMOA (shark)
- SoftClusteringModel (shark)
- SoftmaxNeuron (shark)
- Sphere (shark::benchmarks)
- SquaredEpsilonHingeLoss (shark)
- SquaredHingeCSvmTrainer (shark)
- SquaredHingeLinearCSvmTrainer (shark)
- SquaredHingeLoss (shark)
- SquaredLoss (shark)
- SquaredLoss< OutputType, unsigned int > (shark)
- SquaredLoss< Sequence, Sequence > (shark)
- NormalizerNeuron::State (shark)
- State (shark)
- Statistics (shark::statistics)
- SteepestDescent (shark)
- SubrangeKernel (shark)
- SvmLogisticInterpretation (shark)
- SvmProblem (shark)
- SvmShrinkingProblem (shark)
- T
- TanhNeuron (shark)
- WeightedSumKernel::tBase (shark)
- TemperedMarkovChain (shark)
- Timer (shark)
- TournamentSelection (shark)
- tracking_level< shark::TypedFlags< T > > (boost::serialization)
- tracking_level< std::vector< T > > (boost::serialization)
- TrainingError (shark)
- TrainingProgress (shark)
- TransformedData (shark)
- TreeConstruction (shark)
- TreeNearestNeighbors (shark)
- TrustRegionNewton (shark)
- TwoNormRegularizer (shark)
- TwoPointStepSizeAdaptation (shark)
- TwoStateSpace (shark)
- TypedFeatureNotAvailableException (shark)
- TypedFlags (shark)
- U
- UniformCrossover (shark)
- UniformRankingSelection (shark)
- UnlabeledData (shark)
- UpperQuantile (shark::statistics)
- V
- ValidatedSingleObjectiveResultSet (shark)
- ValidatedStoppingCriterion (shark)
- QpMcBoxDecomp::Variable (shark)
- QpMcSimplexDecomp::Variable (shark)
- Variance (shark::statistics)
- VariationalAutoencoderError (shark)
- VDCMA (shark)
- Shark::Version (shark)
- W
- Wave (shark)
- WeightedDataBatch (shark)
- WeightedDataPair (shark)
- WeightedLabeledData (shark)
- WeightedSumKernel (shark)
- WeightedUnlabeledData (shark)
- WS2MaximumGradientCriterion (shark)
- Z
- ZDT1 (shark::benchmarks)
- ZDT2 (shark::benchmarks)
- ZDT3 (shark::benchmarks)
- ZDT4 (shark::benchmarks)
- ZDT6 (shark::benchmarks)
- ZeroOneLoss (shark)
- ZeroOneLoss< unsigned int, blas::vector< Float > > (shark)