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

- b -

• B() : AlphaDropout< InputDataType, OutputDataType >
• Backtrace() : Backtrace
• backtrace : PrefixedOutStream
• BacktrackingLineSearch() : BacktrackingLineSearch
• BacktrackStepSize() : AdaptiveStepsize
• Backward() : Add< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , ELU< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , HMM< Distribution >
• backward : CartPole
• Backward() : Join< InputDataType, OutputDataType >
• backward : MountainCar
• Backward() : FFN< OutputLayerType, InitializationRuleType, CustomLayers > , BilinearInterpolation< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType >
• BackwardVisitor() : BackwardVisitor
• BALL_TREE : NSModel< SortPolicy > , RSModel
• BallBound() : BallBound< MetricType, VecType >
• Bandwidth() : GaussianKernel , LaplacianKernel , TriangularKernel , GaussianKernel
• BarzilaiBorweinDecay() : BarzilaiBorweinDecay
• Base() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• BaseCase() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , PellegMooreKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• baseCases : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• BaseCases() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearch< MetricType, MatType, TreeType > , RangeSearchRules< MetricType, TreeType >
• BaseLayer() : BaseLayer< ActivationFunction, InputDataType, OutputDataType >
• BasisVector() : CosineTree
• BatchDelta() : BigBatchSGD< UpdatePolicyType >
• BatchNorm() : BatchNorm< InputDataType, OutputDataType >
• BatchSize() : AdaDelta , AdaGrad , AdamType< UpdateRule > , BigBatchSGD< UpdatePolicyType > , CMAES< SelectionPolicyType > , IQN , KatyushaType< Proximal > , RMSProp , SARAHType< UpdatePolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , SGDR< UpdatePolicyType > , SnapshotSGDR< UpdatePolicyType > , SMORMS3 , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType >
• Begin() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , AllDimensionSelect , MultipleRandomDimensionSelect< NumDimensions > , RandomDimensionSelect
• BestDistance() : FurthestNeighborSort , NearestNeighborSort
• BestModel() : CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• BestNodeToNodeDistance() : NearestNeighborSort , FurthestNeighborSort , NearestNeighborSort
• BestObjective() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• BestPointToNodeDistance() : FurthestNeighborSort , NearestNeighborSort
• Beta() : GammaDistribution , LARS , SparseAutoencoder , SparseAutoencoderFunction , GammaDistribution , SparseAutoencoder
• Beta1() : AdamType< UpdateRule > , AdamUpdate , AdaMaxUpdate , AMSGradUpdate , NadamUpdate , NadaMaxUpdate , OptimisticAdamUpdate , NadamUpdate , OptimisticAdamUpdate , AdamType< UpdateRule >
• Beta2() : AdamType< UpdateRule > , AdamUpdate , NadaMaxUpdate , AdaMaxUpdate , AMSGradUpdate , NadamUpdate , NadaMaxUpdate , OptimisticAdamUpdate , AdamUpdate , AMSGradUpdate
• BetaPath() : LARS
• Biases() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• BigBatchSGD() : BigBatchSGD< UpdatePolicyType >
• BilinearInterpolation() : BilinearInterpolation< InputDataType, OutputDataType >
• BinaryNumericSplit() : BinaryNumericSplit< FitnessFunction, ObservationType >
• BinaryNumericSplitInfo() : BinaryNumericSplitInfo< ObservationType >
• BinarySearch() : CosineTree
• BinarySpaceTree() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• BinaryTree : TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::BallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMaxSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMeanSplit > > , TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > > , TreeTraits< SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, RPlusTreeSplit< SplitPolicyType, SweepType >, DescentType, AuxiliaryInformationType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::HollowBallBound, SplitType > > , TreeTraits< TreeType > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::CellBound, SplitType > > , TreeTraits< Octree< MetricType, StatisticType, MatType > >
• BinLabels() : DecisionStump< MatType >
• Bins() : HoeffdingNumericSplit< FitnessFunction, ObservationType >
• BiSearchVisitor() : BiSearchVisitor< SortPolicy > , BiSearchVisitor
• Blacklist() : PellegMooreKMeansStatistic
• BlockHeight() : ColumnsToBlocks
• BlockSize() : RandomizedBlockKrylovSVDPolicy , RandomizedBlockKrylovSVD
• BlockWidth() : ColumnsToBlocks
• BOOST_STATIC_CONSTANT() : version< mlpack::ann::RNN< OutputLayerType, InitializationRuleType, CustomLayer...> > , version< mlpack::ann::FFN< OutputLayerType, InitializationRuleType, CustomLayer...> >
• BoothFunction() : BoothFunction
• Bound() : Octree< MetricType, StatisticType, MatType > , RPlusTreeSplitPolicy , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RAQueryStat< SortPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , FastMKSStat , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , DTBStat , Octree< MetricType, StatisticType, MatType > , RAQueryStat< SortPolicy > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , DTBStat , RPlusPlusTreeSplitPolicy , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• BoundType : HyperplaneBase< BoundT, ProjVectorT > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RPlusPlusTreeAuxiliaryInformation< TreeType >
• BreadthFirstDualTreeTraverser : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType >
• BucketSize() : LSHSearch< SortPolicy >
• BucketTag() : DTree< MatType, TagType >
• BufSize() : ColumnsToBlocks
• BufValue() : ColumnsToBlocks
• BuildModel() : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy > , FastMKSModel , HoeffdingTreeModel
• BuildString() : PathCacher
• BukinFunction() : BukinFunction