Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

• CachedMatrix::tCacheEntry
• CMAOptimizer::ModelFitness
• CoverTree
  • KernelCoverTree
• CoverTree::Node
• CoverTree::tNode
• Dataset
• DataSource
  • Chessboard
    • NoisyChessboard
  • DataFile
  • MultiClassTestProblem
  • NoisyInterval
  • SparseDistribution
  • SphereDistribution1
  • TransformedProblem
• EarlyStopping
• ErrorFunction
  • BalancedClassificationError
  • BinaryCriterion
  • ClassificationError
  • CrossEntropy
  • CrossEntropyIndependent
  • CVError
  • DF_CrossEntropy
  • DF_CrossEntropyIndependent
  • DF_MeanSquaredError
  • ErrorPercentage
  • GaussianProcessEvidence
  • GaussianProcessVariance
  • InverseClassSeparability
  • LinearEquation
  • LOO
  • MeanSquaredError
  • ModelInterface
  • ModelWithErrorFunction
  • MSEFFNet
    • LinOutMSEBFFNet
      • ProbenBNet
    • LMSEFFNet
  • MSERNNet
  • NegativeBKTA
  • NegativeKTA
  • NegativeLogLikelihood
  • NegativePolarization
  • NoisySvmLikelihood
  • Paraboloid
  • RadiusMargin
  • SpanBound
  • SpanBound1
  • SquaredError
  • SvmApproximationErrorFunction
  • SvmApproximationErrorFunctionGlobal
  • ValidationError
  • WTA
  • ZeroOneLoss
• IntWiseDouble
• JaakkolaHeuristic
• KernelKMeans
• Model
  • AffineLinearMap
    • AffineLinearFunction
  • ComponentWiseModel
  • CVModel
  • ExpNorm
  • FFNet
    • LinOutFFNet
    • MSEFFNet
    • TanhNet
  • KalmanFilter
  • KernelFunction
    • DiagGaussKernel
    • GeneralGaussKernel
    • LinearKernel
    • NormalizedKernel
    • NormalizedRBFKernel
    • PolynomialKernel
    • RBFKernel
    • WeightedSumKernel
    • WeightedSumKernel2
  • KernelMeanClassifier
  • KernelNearestNeighbor
  • LinearClassifier
  • LinearEquation
  • LinearMap
    • LinearFunction
  • LinNorm
  • MetaSVM
    • AllInOneMcSVM
    • C_SVM
    • CrammerSingerMcSVM
    • Epsilon_SVM
    • GaussianProcess
    • OCCMcSVM
    • OneClassSVM
    • OVAMcSVM
    • RegularizationNetwork
  • ModelInterface
  • ModelWithErrorFunction
  • MSERNNet
  • MultiClassSVM
  • Paraboloid
  • RBFNet
    • MSERBFNet
  • SigmoidModel
  • SimpleSigmoidModel
  • SVM
  • SvmApproximationModel
• NetParams
• Optimizer
  • AdpBP90a
  • AdpBP90b
  • BFGS
  • CG
  • CMAOptimizer
  • GridSearch
  • IRpropMinus
  • IRpropPlus
  • LDA
  • LinearRegression
  • NestedGridSearch
  • NoisyRprop
  • PCA
  • Perceptron
  • PointSearch
  • Quickprop
  • QuickpropOriginal
  • RpropMinus
  • RpropPlus
  • SteepestDescent
  • StochasticGradientDescent
  • SVM_Optimizer
• Partitioning
• ProbenNet
• QpBoxAllInOneDecomp::tExample
• QpBoxAllInOneDecomp::tVariable
• QpCrammerSingerDecomp::tExample
• QpCrammerSingerDecomp::tVariable
• QPMatrix
  • CachedMatrix
  • InputLabelMatrix
  • KernelMatrix
    • RegularizedKernelMatrix
  • QPMatrix2
• QPSolver
  • QpBoxAllInOneDecomp
  • QpBoxAndEqCG
  • QpBoxAndEqDecomp
  • QpBoxDecomp
  • QpCrammerSingerDecomp
  • QpSvmCG
  • QpSvmDecomp
• ROC
• SigmoidFit
• SvmApproximation
• Variance
• VarianceEstimator