Here is a list of all class members with links to the classes they belong to:

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• A() : AlphaDropout< InputDataType, OutputDataType >
• Acrobat() : Acrobat
• Action : CartPole , MountainCar , Acrobat
• action : ContinuousMountainCar::Action , Pendulum::Action
• ActionType : AggregatedPolicy< PolicyType > , GreedyPolicy< EnvironmentType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , RandomReplay< EnvironmentType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• ActiveSet() : LARS
• AdaBoost() : AdaBoost< WeakLearnerType, MatType >
• AdaBoostModel() : AdaBoostModel
• AdaDelta() : AdaDelta
• AdaDeltaUpdate() : AdaDeltaUpdate
• AdaGrad() : AdaGrad
• AdaGradUpdate() : AdaGradUpdate
• AdaMaxUpdate() : AdaMaxUpdate
• AdamType() : AdamType< UpdateRule >
• AdamUpdate() : AdamUpdate
• AdaptiveStepsize() : AdaptiveStepsize
• AdaptRate() : SPALeRAStepsize , SPALeRASGD< DecayPolicyType >
• Add() : CLI , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Sequential< InputDataType, OutputDataType, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• AddAtom() : Atoms
• AddMerge() : AddMerge< InputDataType, OutputDataType, CustomLayers >
• AddTask() : AddTask
• AddVisitor() : AddVisitor< CustomLayers >
• AggregatedPolicy() : AggregatedPolicy< PolicyType >
• alias : ParamData
• Aliases() : CLI
• AllDimensionSelect() : AllDimensionSelect
• AllowEmptyClusters() : AllowEmptyClusters
• Alpha() : RMSProp , RMSPropUpdate , SPALeRASGD< DecayPolicyType > , SPALeRAStepsize , AdaBoost< WeakLearnerType, MatType > , ELU< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , GammaDistribution
• AlphaDash() : AlphaDropout< InputDataType, OutputDataType >
• AlphaDropout() : AlphaDropout< InputDataType, OutputDataType >
• AlphaUpper() : DTree< MatType, TagType >
• AMF() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• AMSGradUpdate() : AMSGradUpdate
• Angle() : CartPole::State
• AngleNormalize() : Pendulum
• Angles() : Radical
• AngularVelocity() : CartPole::State , Pendulum::State
• AngularVelocity1() : Acrobat::State
• AngularVelocity2() : Acrobat::State
• Anneal() : AggregatedPolicy< PolicyType > , GreedyPolicy< EnvironmentType >
• Apply() : KernelPCA< KernelType, KernelRule > , PCA< DecompositionPolicy > , RandomizedSVD , RegularizedSVD< OptimizerType > , InitHMMModel , SVDWrapper< Factorizer > , KernelPCA< KernelType, KernelRule > , RegSVDPolicy , RandomizedBlockKrylovSVD , TrainHMMModel , RandomizedSVDPolicy , QUICSVDPolicy , PCA< DecompositionPolicy > , KernelPCA< KernelType, KernelRule > , RandomizedSVD , AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType > , BatchSVDPolicy , NMFPolicy , RandomizedSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDWrapper< Factorizer > , PCA< DecompositionPolicy > , RandomizedBlockKrylovSVDPolicy , NystroemMethod< KernelType, PointSelectionPolicy > , ExactSVDPolicy
• ApplyConstraint() : NoConstraint , DiagonalConstraint , PositiveDefiniteConstraint , EigenvalueRatioConstraint
• ApplyKernelMatrix() : NaiveKernelRule< KernelType > , NystroemKernelRule< KernelType, PointSelectionPolicy >
• ArmijoConstant() : L_BFGS
• Assert() : Log
• AssertDataConsistency() : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• AssertWeightsConsistency() : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• AssignToFirstTree : RPlusTreeSplitPolicy , RPlusPlusTreeSplitPolicy
• AssignToLeftNode() : MidpointSplit< BoundType, MatType > , MeanSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType > , VantagePointSplit< BoundType, MatType, MaxNumSamples > , RPTreeMeanSplit< BoundType, MatType >
• AssignToSecondTree : RPlusPlusTreeSplitPolicy , RPlusTreeSplitPolicy
• AsyncLearning() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• Atoms() : LocalCoordinateCoding , SparseCoding , LocalCoordinateCoding , SparseCoding , Atoms
• AtrousConvolution() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• AugLag() : LRSDP< SDPType >
• AugLagrangian() : AugLagrangian
• AugLagrangianFunction() : AugLagrangianFunction< LagrangianFunction >
• AugLagrangianTestFunction() : AugLagrangianTestFunction
• AuxBound() : NeighborSearchStat< SortPolicy >
• AuxiliaryInfo() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• AuxiliaryInformation : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• AverageInitialization() : AverageInitialization
• AxisParallelProjVector() : AxisParallelProjVector