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
• Backward() : Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , Concatenate< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Join< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, Residual, CustomLayers > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , HMM< Distribution >
• backward : CartPole , DoublePoleCart , MountainCar
• BackwardVisitor() : BackwardVisitor
• BALL_TREE : KDEModel , NSModel< SortPolicy > , RSModel
• BallBound() : BallBound< MetricType, VecType >
• Bandwidth() : KDEModel , GaussianKernel , LaplacianKernel , TriangularKernel
• BandwidthVisitor() : BandwidthVisitor
• Base() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• BaseCase() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , KDECleanRules< TreeType > , KDERules< MetricType, KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , PellegMooreKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType >
• BaseCases() : DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , KDERules< MetricType, KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• baseCases : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• BaseCases() : NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearch< MetricType, MatType, TreeType > , RangeSearchRules< MetricType, TreeType >
• BaseLayer() : BaseLayer< ActivationFunction, InputDataType, OutputDataType >
• BasisVector() : CosineTree
• BatchNorm() : BatchNorm< InputDataType, OutputDataType >
• BatchUpdate() : SumTree< T >
• Begin() : AllDimensionSelect , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , MultipleRandomDimensionSelect , RandomDimensionSelect , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• BernoulliDistribution() : BernoulliDistribution< DataType >
• BestDistance() : FurthestNS , NearestNS
• BestModel() : CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• BestNodeToNodeDistance() : FurthestNS , NearestNS
• BestObjective() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• BestPointToNodeDistance() : FurthestNS , NearestNS
• Beta() : GammaDistribution , SparseAutoencoder , SparseAutoencoderFunction , LARS
• BetaAnneal() : PrioritizedReplay< EnvironmentType >
• BetaPath() : LARS
• Bias() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• Biases() : Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• BiasSetVisitor() : BiasSetVisitor
• BiasSVD() : BiasSVD< OptimizerType >
• BiasSVDFunction() : BiasSVDFunction< MatType >
• BiasSVDPolicy() : BiasSVDPolicy
• BilinearInterpolation() : BilinearInterpolation< InputDataType, OutputDataType >
• BinaryNumericSplit() : BinaryNumericSplit< FitnessFunction, ObservationType >
• BinaryNumericSplitInfo() : BinaryNumericSplitInfo< ObservationType >
• BinarySearch() : CosineTree
• BinarySpaceTree() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• BinaryTree : TreeTraits< TreeType > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::BallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::CellBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::HollowBallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMaxSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMeanSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > > , TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > > , TreeTraits< Octree< MetricType, StatisticType, MatType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, RPlusTreeSplit< SplitPolicyType, SweepType >, DescentType, AuxiliaryInformationType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > > , TreeTraits< SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > >
• BinLabels() : DecisionStump< MatType >
• Bins() : HoeffdingNumericSplit< FitnessFunction, ObservationType >
• BiSearchVisitor() : BiSearchVisitor< SortPolicy > , BiSearchVisitor
• Blacklist() : PellegMooreKMeansStatistic
• BlockHeight() : ColumnsToBlocks
• BlockSize() : RandomizedBlockKrylovSVDPolicy , RandomizedBlockKrylovSVD
• BlockWidth() : ColumnsToBlocks
• BOOST_MPL_ASSERT() : version< mlpack::kde::KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > >
• BOOST_STATIC_CONSTANT() : version< mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > > , version< mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayer... > > , version< mlpack::ann::FFN< OutputLayerType, InitializationRuleType, CustomLayer... > > , version< mlpack::ann::RNN< OutputLayerType, InitializationRuleType, CustomLayer... > > , version< mlpack::kde::KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > >
• Bound() : DTBStat , FastMKSStat , RAQueryStat< SortPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , RPlusPlusTreeSplitPolicy , RPlusTreeSplitPolicy , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• BoundType : HyperplaneBase< BoundT, ProjVectorT > , RPlusPlusTreeAuxiliaryInformation< TreeType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• BreadthFirstDualTreeTraverser() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• BRNN() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
• BucketSize() : LSHSearch< SortPolicy >
• BucketTag() : DTree< MatType, TagType >
• BufSize() : ColumnsToBlocks
• BufValue() : ColumnsToBlocks
• BuildModel() : FastMKSModel , KDEModel , NSModel< SortPolicy > , RAModel< SortPolicy > , RSModel , HoeffdingTreeModel
• BuildString() : PathCacher