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