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• A() : AlphaDropout< InputDataType, OutputDataType >
• AbsoluteError() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• Acrobot() : Acrobot
• ActiveSet() : LARS
• AdaBoost() : AdaBoost< WeakLearnerType, MatType >
• AdaBoostModel() : AdaBoostModel
• Add() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , CLI , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers >
• AddMerge() : AddMerge< InputDataType, OutputDataType, CustomLayers >
• AddTask() : AddTask
• AddVisitor() : AddVisitor< CustomLayers >
• AggregatedPolicy() : AggregatedPolicy< PolicyType >
• Aliases() : CLI
• AllDimensionSelect() : AllDimensionSelect
• AllowEmptyClusters() : AllowEmptyClusters
• Alpha() : GammaDistribution , AdaBoost< WeakLearnerType, MatType > , ELU< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , BiasSVDPolicy , SVDPlusPlusPolicy , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• AlphaDash() : AlphaDropout< InputDataType, OutputDataType >
• AlphaDropout() : AlphaDropout< InputDataType, OutputDataType >
• AlphaUpper() : DTree< MatType, TagType >
• AMF() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• Angle() : CartPole::State
• AngleNormalize() : Pendulum
• Angles() : Radical
• AngularVelocity() : CartPole::State , Pendulum::State
• AngularVelocity1() : Acrobot::State
• AngularVelocity2() : Acrobot::State
• Anneal() : AggregatedPolicy< PolicyType > , GreedyPolicy< EnvironmentType >
• Apply() : RandomizedSVDPolicy , SVDPlusPlus< OptimizerType > , BiasSVDPolicy , AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType > , PCA< DecompositionPolicy > , BiasSVD< OptimizerType > , RandomizedBlockKrylovSVD , BatchSVDPolicy , RegularizedSVD< OptimizerType > , NMFPolicy , SVDPlusPlus< OptimizerType > , RandomizedSVD , SVDIncompletePolicy , SVDPlusPlusPolicy , SVDWrapper< Factorizer > , PCA< DecompositionPolicy > , KernelPCA< KernelType, KernelRule > , RandomizedSVD , KernelPCA< KernelType, KernelRule > , PCA< DecompositionPolicy > , RandomizedSVDPolicy , QUICSVDPolicy , RegSVDPolicy , KernelPCA< KernelType, KernelRule > , NystroemMethod< KernelType, PointSelectionPolicy > , ExactSVDPolicy , PCA< DecompositionPolicy > , RandomizedBlockKrylovSVDPolicy , PCA< DecompositionPolicy > , RandomizedSVD , SVDCompletePolicy , InitHMMModel , TrainHMMModel , KernelPCA< KernelType, KernelRule > , SVDWrapper< Factorizer >
• ApplyConstraint() : EigenvalueRatioConstraint , DiagonalConstraint , NoConstraint , PositiveDefiniteConstraint , EigenvalueRatioConstraint , DiagonalConstraint , PositiveDefiniteConstraint
• ApplyKernelMatrix() : NystroemKernelRule< KernelType, PointSelectionPolicy > , NaiveKernelRule< KernelType >
• ApplyNormalizer() : KernelNormalizer
• Assert() : Log
• AssertDataConsistency() : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• AssertWeightsConsistency() : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• AssignToLeftNode() : VantagePointSplit< BoundType, MatType, MaxNumSamples > , MeanSplit< BoundType, MatType > , RPTreeMeanSplit< BoundType, MatType > , MidpointSplit< BoundType, MatType > , RPTreeMaxSplit< BoundType, MatType >
• AsyncLearning() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• Atoms() : SparseCoding , LocalCoordinateCoding , SparseCoding , LocalCoordinateCoding
• AtrousConvolution() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• AuxBound() : NeighborSearchStat< SortPolicy >
• AuxiliaryInfo() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• AverageInitialization() : AverageInitialization
• AverageInterpolation() : AverageInterpolation
• AxisParallelProjVector() : AxisParallelProjVector