| MarkovPole (shark) |
matrix (shark::blas) |
AbsoluteLoss (shark) | matrix_addition (shark::blas) |
AbstractBudgetMaintenanceStrategy (shark) | matrix_binary (shark::blas) |
AbstractClustering (shark) | matrix_column (shark::blas) |
AbstractConstraintHandler (shark) | matrix_container (shark::blas) |
AbstractCost (shark) | matrix_expression (shark::blas) |
AbstractDistribution (shark) | matrix_matrix_prod (shark::blas) |
AbstractKernelFunction (shark) | matrix_range (shark::blas) |
AbstractLinearSvmTrainer (shark) | matrix_reference (shark::blas) |
AbstractLineSearchOptimizer (shark) | matrix_row (shark::blas) |
AbstractLoss (shark) | matrix_scalar_multiply (shark::blas) |
AbstractMetric (shark) | matrix_set (shark::blas) |
AbstractModel (shark) | matrix_set_expression (shark::blas) |
AbstractMultiObjectiveOptimizer (shark) | matrix_transpose (shark::blas) |
AbstractNearestNeighbors (shark) | matrix_unary (shark::blas) |
AbstractObjectiveFunction (shark) | matrix_vector_prod (shark::blas) |
AbstractOptimizer (shark) | matrix_vector_range (shark::blas) |
AbstractSingleObjectiveOptimizer (shark) | MaximumGainCriterion (shark) |
AbstractStoppingCriterion (shark) | MaximumGradientCriterion (shark) |
AbstractSvmTrainer (shark) | MaxIterations (shark) |
AbstractTrainer (shark) | McPegasos (shark) |
AbstractUnsupervisedTrainer (shark) | McReinforcedSvmTrainer (shark) |
AbstractWeightedTrainer (shark) | McSvmADMTrainer (shark) |
AbstractWeightedUnsupervisedTrainer (shark) | McSvmATMTrainer (shark) |
Ackley (shark) | McSvmATSTrainer (shark) |
AdditiveEpsilonIndicator (shark) | McSvmCSTrainer (shark) |
ARDKernelUnconstrained (shark) | McSvmLLWTrainer (shark) |
ArgMaxConverter (shark) | McSvmMMRTrainer (shark) |
Autoencoder (shark) | McSvmOVATrainer (shark) |
| McSvmWWTrainer (shark) |
Mean (shark::statistics) |
BarsAndStripes (shark) | MeanModel (shark) |
BaseFastNonDominatedSort (shark) | Median (shark::statistics) |
BaseRng (shark) | MergeBudgetMaintenanceStrategy (shark) |
BaseStatisticsObject (shark::statistics) | MergeBudgetMaintenanceStrategy< RealVector > (shark) |
Batch (shark) | MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction (shark) |
Bernoulli (shark) | MissingFeaturesKernelExpansion (shark) |
BFGS (shark) | MissingFeatureSvmTrainer (shark) |
BiasSolver (shark) | MklKernel (shark) |
BiasSolverSimplex (shark) | MNIST (shark) |
BinaryLayer (shark) | ModelKernel (shark) |
BinaryTree (shark) | ModifiedKernelMatrix (shark) |
Binomial (shark) | MonomialKernel (shark) |
BipolarLayer (shark) | MultiChainApproximator (shark) |
BitflipMutator (shark) | MultiNomialDistribution (shark) |
Blocking (shark::blas) | MultiplicativeEpsilonIndicator (shark) |
BlockMatrix2x2 (shark) | Multiply (shark) |
BoundingBoxComputer (shark) | MultiSequenceIterator (shark) |
BoxConstrainedProblem (shark) | MultiTaskKernel |
BoxConstrainedShrinkingProblem (shark) | MultiTaskSample (shark) |
BoxConstraintHandler (shark) | MultiVariateNormalDistribution (shark) |
BoxedSVMProblem (shark) | MultiVariateNormalDistributionCholesky (shark) |
| MVPSelectionCriterion (shark) |
|
CachedMatrix (shark) |
CanBeCalled (shark) | NBClassifier (shark) |
CARTClassifier (shark) | NBClassifierTrainer (shark) |
CARTTrainer (shark) | NearestNeighborClassifier (shark) |
Cauchy (shark) | NearestNeighborRegression (shark) |
Centroids (shark) | NegativeAUC (shark) |
CG (shark) | NegativeGaussianProcessEvidence (shark) |
Chessboard (shark) | NegativeLogLikelihood (shark) |
Cigar (shark) | NegativeWilcoxonMannWhitneyStatistic (shark) |
CigarDiscus (shark) | NegExponential (shark) |
CIGTAB1 (shark) | NestedGridSearch (shark) |
CIGTAB2 (shark) | noalias_proxy (shark::blas) |
CircleInSquare (shark) | NoisyErrorFunction (shark) |
ClusteringModel (shark) | NonMarkovPole (shark) |
CMA (shark) | Normal (shark) |
CMAChromosome (shark) | NormalDistributedPoints (shark) |
CMACMap (shark) | NormalizeComponentsUnitInterval (shark) |
CMAIndividual (shark) | NormalizeComponentsUnitVariance (shark) |
CMSA (shark) | NormalizeComponentsWhitening (shark) |
CombinedObjectiveFunction (shark) | NormalizeComponentsZCA (shark) |
compressed_matrix (shark::blas) | NormalizedKernel (shark) |
compressed_vector (shark::blas) | NormalizeKernelUnitVariance (shark) |
ConcatenatedModel (shark) | Normalizer (shark) |
const_expression< compressed_matrix< T, I > > (shark::blas) | NormalTrainer (shark) |
const_expression< compressed_matrix< T, I > const > (shark::blas) |
|
const_expression< compressed_vector< T, I > > (shark::blas) |
const_expression< compressed_vector< T, I > const > (shark::blas) | OneClassSvmTrainer (shark) |
const_expression< matrix< T, Orientation > > (shark::blas) | OneNormRegularizer (shark) |
const_expression< matrix< T, Orientation > const > (shark::blas) | OnePointCrossover (shark) |
const_expression< triangular_matrix< T, Orientation, TriangularType > > (shark::blas) | OneVersusOneClassifier (shark) |
const_expression< triangular_matrix< T, Orientation, TriangularType > const > (shark::blas) | OnlineRNNet (shark) |
const_expression< vector< T > > (shark::blas) | OptimizationTrainer (shark) |
const_expression< vector< T > const > (shark::blas) | outer_product (shark::blas) |
diagonal_matrix::const_row_iterator (shark::blas) |
|
CrossEntropyMethod::ConstantNoise (shark) |
ConstProxyReference (shark) | PairIterator (shark) |
ConstrainedSphere (shark) | PairRangeType (shark) |
ContrastiveDivergence (shark) | PairReference (shark) |
ConvexCombination (shark) | PamiToy (shark) |
ConvolutionalRBM (shark) | ParetoDominanceComparator (shark) |
CrossEntropy (shark) | PartlyPrecomputedMatrix (shark) |
CrossEntropyIndependent (shark) | PCA (shark) |
CrossEntropyMethod (shark) | Pegasos (shark) |
CrossValidationError (shark) | PenalizingEvaluator (shark) |
CSvmDerivative (shark) | Perceptron (shark) |
CSVMProblem (shark) | permutation_matrix (shark::blas) |
CSvmTrainer (shark) | LeastContributorApproximator::Point (shark) |
CVFolds (shark) | EvaluationArchive::PointResultPairType (shark) |
| PointSearch (shark) |
Poisson (shark) |
Data (shark) | PolynomialKernel (shark) |
DataDistribution (shark) | PolynomialMutator (shark) |
DataView (shark) | PopulationBasedStepSizeAdaptation (shark) |
dense_matrix_adaptor (shark::blas) | PrecomputedMatrix (shark) |
dense_vector_adaptor (shark::blas) | QpMcSimplexDecomp::PreferedSelectionStrategy (shark) |
diagonal_matrix (shark::blas) | QpMcBoxDecomp::PreferedSelectionStrategy (shark) |
DiagonalWithCircle (shark) | ProductKernel (shark) |
DiffGeometric (shark) | ProjectBudgetMaintenanceStrategy (shark) |
DiffGeometric_distribution (shark) | ProjectBudgetMaintenanceStrategy< RealVector > (shark) |
DiffPowers (shark) | ProxyIterator (shark) |
Dirichlet (shark) |
|
Dirichlet_distribution (shark) |
DiscreteKernel (shark) | QpBoxLinear (shark) |
DiscreteLoss (shark) | QpBoxLinear< CompressedRealVector > (shark) |
DiscreteSpace (shark::tags) | QpConfig (shark) |
DiscreteUniform (shark) | QpMcBoxDecomp (shark) |
Discus (shark) | QpMcDecomp (shark) |
DistantModes (shark) | QpMcLinear (shark) |
DistTrainerContainer (shark) | QpMcLinearADM (shark) |
Divide (shark) | QpMcLinearATM (shark) |
DoublePole (shark) | QpMcLinearATS (shark) |
DropoutNeuron (shark) | QpMcLinearCS (shark) |
DTLZ1 (shark) | QpMcLinearLLW (shark) |
DTLZ2 (shark) | QpMcLinearMMR (shark) |
DTLZ3 (shark) | QpMcLinearReinforced (shark) |
DTLZ4 (shark) | QpMcLinearWW (shark) |
DTLZ5 (shark) | QpMcSimplexDecomp (shark) |
DTLZ6 (shark) | QpSolutionProperties (shark) |
DTLZ7 (shark) | QpSolver (shark) |
| QpSparseArray (shark) |
QpStoppingCondition (shark) |
WilcoxonRankSumTest::Element (shark) | Quantile (shark::statistics) |
ElitistCMA (shark) |
|
ElitistSelection (shark) |
ELLI1 (shark) | RadiusMarginQuotient (shark) |
ELLI2 (shark) | Individual::RankOrdering (shark) |
Ellipsoid (shark) | RBFLayer (shark) |
EmptyState (shark) | RBM (shark) |
Energy (shark) | RealSpace (shark) |
EnergyStoringTemperedMarkovChain (shark) | RealSpace (shark::tags) |
QpSparseArray::Entry (shark) | RectifierNeuron (shark) |
EpsilonHingeLoss (shark) | RecurrentStructure (shark) |
EpsilonSvmTrainer (shark) | compressed_vector::reference (shark::blas) |
EPTournamentSelection (shark) | compressed_matrix::reference (shark::blas) |
Erlang (shark) | RegularizationNetworkTrainer (shark) |
Erlang_distribution (shark) | RegularizedKernelMatrix (shark) |
ErrorFunction (shark) | RemoveBudgetMaintenanceStrategy (shark) |
EvaluationArchive (shark) | WilcoxonRankSumTest::Result (shark) |
ExactGradient (shark) | RadiusMarginQuotient::Result (shark) |
QpMcBoxDecomp::Example (shark) | ResultSet (shark) |
QpMcSimplexDecomp::Example (shark) | ResultTable (shark::statistics) |
ExampleModifiedKernelMatrix (shark) | RFTrainer::RFAttribute (shark) |
Exception (shark) | RFClassifier (shark) |
| RFTrainer (shark) |
RNNet (shark) |
FastSigmoidNeuron (shark) | ROC (shark) |
FFNet (shark) | Rosenbrock (shark) |
FFNetStructures (shark) | RotatedObjectiveFunction (shark) |
FisherLDA (shark) | RouletteWheelSelection (shark) |
FitnessExtractor (shark) | QpSparseArray::Row (shark) |
Individual::FitnessOrdering (shark) | RpropMinus (shark) |
Fonseca (shark) | RpropPlus (shark) |
FractionMissing (shark::statistics) |
|
|
Sampler (shark) |
Gamma (shark) | scalar_matrix (shark::blas) |
Gamma_distribution (shark) | scalar_vector (shark::blas) |
GaussianKernelMatrix (shark) | ScaledKernel (shark) |
GaussianLayer (shark) | Schwefel (shark) |
GaussianNoiseModel (shark) | ScopedHandle (shark) |
GaussianRbfKernel (shark) | AbstractObjectiveFunction::SecondOrderDerivative (shark) |
GaussianTaskKernel | Shift (shark) |
GeneralizationLoss (shark) | Shifter (shark) |
GeneralizationQuotient (shark) | SigmoidFitPlatt (shark) |
GeneralQuadraticProblem (shark) | SigmoidFitRpropNLL (shark) |
GenericDistTrainer (shark) | SigmoidModel (shark) |
Geometric (shark) | SimpleNearestNeighbors (shark) |
GibbsOperator (shark) | SimpleSigmoidModel (shark) |
GridSearch (shark) | SimplexDownhill (shark) |
GruauPole (shark) | SimulatedBinaryCrossover (shark) |
GSP (shark) | SingleChainApproximator (shark) |
| SingleObjectiveResultSet (shark) |
SinglePole (shark) |
HardClusteringModel (shark) | SMSEMOA (shark) |
HierarchicalClustering (shark) | SoftClusteringModel (shark) |
Himmelblau (shark) | Softmax (shark) |
HingeLoss (shark) | SoftNearestNeighborClassifier (shark) |
HMGSelectionCriterion (shark) | SolveAXB (shark::blas) |
HuberLoss (shark) | SolveXAB (shark::blas) |
HyperGeometric (shark) | sparse_vector_adaptor (shark::blas) |
HyperGeometric_distribution (shark) | SparseAutoencoderError (shark) |
HypervolumeApproximator (shark) | QpBoxLinear< CompressedRealVector >::SparseVector (shark) |
HypervolumeCalculator (shark) | Sphere (shark) |
HypervolumeIndicator (shark) | CARTClassifier::SplitInfo (shark) |
| SquaredEpsilonHingeLoss (shark) |
SquaredHingeCSvmTrainer (shark) |
identity_matrix (shark::blas) | SquaredHingeLinearCSvmTrainer (shark) |
IdentityFitnessExtractor (shark) | SquaredHingeLoss (shark) |
LeastContributorApproximator::IdentityFitnessExtractor (shark) | SquaredLoss (shark) |
IHR1 (shark) | SquaredLoss< OutputType, unsigned int > (shark) |
IHR2 (shark) | SquaredLoss< Sequence, Sequence > (shark) |
IHR3 (shark) | State (shark) |
IHR4 (shark) | Statistics (shark::statistics) |
IHR6 (shark) | SteepestDescent (shark) |
ImageInformation (shark) | SubrangeKernel (shark) |
ImagePatches (shark) | SvmLogisticInterpretation (shark) |
ImpulseNoiseModel (shark) | SvmProblem (shark) |
INameable (shark) | SvmShrinkingProblem (shark) |
IndexedIterator (shark) |
|
IndicatorBasedMOCMA (shark) |
IndicatorBasedRealCodedNSGAII (shark) | CARTTrainer::TableEntry (shark) |
IndicatorBasedSelection (shark) | TanhNeuron (shark) |
IndicatorBasedSteadyStateMOCMA (shark) | TanhSigmoidModel (shark) |
Individual (shark) | WeightedSumKernel::tBase (shark) |
CrossEntropyMethod::INoiseType (shark) | TemperedMarkovChain (shark) |
InvertedGenerationalDistance (shark) | temporary_proxy (shark::blas) |
IParameterizable (shark) | QpMcDecomp::tExample (shark) |
IRpropMinus (shark) | ThresholdConverter (shark) |
IRpropPlus (shark) | ThresholdVectorConverter (shark) |
IRpropPlusFull (shark) | TiedAutoencoder (shark) |
ISerializable (shark) | Timer (shark) |
IterativeNNQuery (shark) | TournamentSelection (shark) |
| tracking_level< shark::TypedFlags< T > > (boost::serialization) |
tracking_level< std::vector< T > > (boost::serialization) |
JaakkolaHeuristic (shark) | TrainingError (shark) |
| TrainingProgress (shark) |
TransformedData (shark) |
KDTree (shark) | TreeConstruction (shark) |
KernelBasisDistance (shark) | TreeNearestNeighbors (shark) |
KernelBudgetedSGDTrainer (shark) | triangular_matrix (shark::blas) |
KernelClassifier (shark) | Truncate (shark) |
KernelExpansion (shark) | TruncateAndRescale (shark) |
KernelMatrix (shark) | TruncatedExponential (shark) |
KernelMeanClassifier (shark) | TruncatedExponential_distribution (shark) |
KernelSGDTrainer (shark) | TruncatedExponentialLayer (shark) |
KernelTargetAlignment (shark) | TrustRegionNewton (shark) |
KeyValuePair (shark) | TukeyBiweightLoss (shark) |
KeyValueRange (shark) | QpMcDecomp::tVariable (shark) |
KHCTree (shark) | TwoNormRegularizer (shark) |
| TwoPointStepSizeAdaptation (shark) |
TwoStateSpace (shark) |
LabeledData (shark) | TypedFeatureNotAvailableException (shark) |
LabeledDataDistribution (shark) | TypedFlags (shark) |
LabelOrder (shark) |
|
LassoRegression (shark) |
LBFGS (shark) | Uniform (shark) |
LCTree (shark) | UniformCrossover (shark) |
LDA (shark) | UniformRankingSelection (shark) |
LeastContributorApproximator (shark) | UnlabeledData (shark) |
LibSVMSelectionCriterion (shark) | UpperQuantile (shark::statistics) |
LinearClassifier (shark) |
|
LinearCSvmTrainer (shark) |
LinearKernel (shark) | ValidatedSingleObjectiveResultSet (shark) |
LinearMcSvmADMTrainer (shark) | ValidatedStoppingCriterion (shark) |
LinearMcSvmATMTrainer (shark) | QpMcBoxDecomp::Variable (shark) |
LinearMcSvmATSTrainer (shark) | QpMcSimplexDecomp::Variable (shark) |
LinearMcSvmCSTrainer (shark) | Variance (shark::statistics) |
LinearMcSvmLLWTrainer (shark) | VDCMA (shark) |
LinearMcSvmMMRTrainer (shark) | vector (shark::blas) |
LinearMcSvmOVATrainer (shark) | vector_addition (shark::blas) |
LinearMcSvmReinforcedTrainer (shark) | vector_binary (shark::blas) |
LinearMcSvmWWTrainer (shark) | vector_container (shark::blas) |
LinearModel (shark) | vector_expression (shark::blas) |
LinearNeuron (shark) | vector_range (shark::blas) |
CrossEntropyMethod::LinearNoise (shark) | vector_reference (shark::blas) |
LinearNorm (shark) | vector_repeater (shark::blas) |
LinearRankingSelection (shark) | vector_scalar_multiply (shark::blas) |
LinearRegression (shark) | vector_set_expression (shark::blas) |
LineSearch (shark) | vector_unary (shark::blas) |
LMCMA (shark) | VectorMatrixTraits (shark) |
LogisticNeuron (shark) | BoundingBoxComputer::VolumeComparator (shark) |
LogNormal (shark) |
|
LooError (shark) |
LooErrorCSvm (shark) | Wave (shark) |
LowerQuantile (shark::statistics) | Weibull (shark) |
LRUCache (shark) | Weibull_distribution (shark) |
LZ1 (shark) | WeightedLabeledData (shark) |
LZ2 (shark) | WeightedSumKernel (shark) |
LZ3 (shark) | WeightedUnlabeledData (shark) |
LZ4 (shark) | WilcoxonRankSumTest (shark) |
LZ5 (shark) | WS2MaximumGradientCriterion (shark) |
LZ6 (shark) |
|
LZ7 (shark) |
LZ8 (shark) | ZDT1 (shark) |
LZ9 (shark) | ZDT2 (shark) |
| ZDT3 (shark) |
ZDT4 (shark) |
triangular_matrix::major1_iterator (shark::blas) | ZDT6 (shark) |
triangular_matrix::major2_iterator (shark::blas) | ZeroOneLoss (shark) |
MarkovChain (shark) | ZeroOneLoss< unsigned int, RealVector > (shark) |
| |