- d -

• Data() : Acrobat::State , CartPole::State , MountainCar::State , Pendulum::State , ContinuousMountainCar::State
• Dataset() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , RAModel< SortPolicy > , RegularizedSVDFunction< MatType > , Octree< MetricType, StatisticType, MatType > , SparseSVMFunction , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , NCA< MetricType, OptimizerType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , NSModel< SortPolicy > , RSModel
• DatasetMapper() : DatasetMapper< PolicyType, InputType >
• DBSCAN() : DBSCAN< RangeSearchType, PointSelectionPolicy >
• DecayPolicy() : ParallelSGD< DecayPolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType >
• DecisionStump() : DecisionStump< MatType >
• DecisionTree() : DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >
• Degree() : PolynomialKernel
• DeletePoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Delta() : Constant< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , QUICSVDPolicy , DropConnect< InputDataType, OutputDataType > , QUICSVDPolicy , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Sequential< InputDataType, OutputDataType, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType >
• DenseA() : SDP< ObjectiveMatrixType >
• DenseB() : SDP< ObjectiveMatrixType >
• Deriv() : IdentityFunction , LogisticFunction , RectifierFunction , SoftplusFunction , SoftsignFunction , SwishFunction , TanhFunction , SwishFunction , LogisticFunction
• Descendant() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• DescentFeature() : CyclicDescent , GreedyDescent , RandomDescent
• DescentPolicy() : SCD< DescentPolicyType >
• Deterministic() : AlphaDropout< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , ReinforceNormal< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType >
• DeterministicSetVisitor() : DeterministicSetVisitor
• Diameter() : BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType >
• Dictionary() : SparseCoding , LocalCoordinateCoding , SparseCoding
• Dim() : HollowBallBound< TMetricType, ElemType > , BallBound< MetricType, VecType > , HRectBound< MetricType, ElemType >
• Dimensionality() : GammaDistribution , LaplaceDistribution , DatasetMapper< PolicyType, InputType > , GMM , AdaBoostModel , DiscreteDistribution , RegressionDistribution , HMM< Distribution > , AdaBoostModel , HMM< Distribution > , GaussianDistribution
• DisableTiming() : Timer
• Discount() : TrainingConfig
• DiscreteDistribution() : DiscreteDistribution
• DiscreteHMM() : HMMModel
• Distance() : EdgePair
• DistanceCalculations() : PellegMooreKMeansRules< MetricType, TreeType > , NaiveKMeans< MetricType, MatType > , PellegMooreKMeansRules< MetricType, TreeType > , PellegMooreKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType > , ElkanKMeans< MetricType, MatType >
• DistanceComps() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• DistanceEvaluations() : LSHSearch< SortPolicy >
• DoRadical() : Radical
• DoRadical2D() : Radical
• DoubleQLearning() : TrainingConfig
• DropConnect() : DropConnect< InputDataType, OutputDataType >
• Dropout() : Dropout< InputDataType, OutputDataType >
• DropWaveFunction() : DropWaveFunction
• DrusillaSelect() : DrusillaSelect< MatType >
• Dsdt() : Acrobat
• DTBRules() : DTBRules< MetricType, TreeType >
• DTBStat() : DTBStat
• DTree() : DTree< MatType, TagType >
• DualInfeasTol() : PrimalDualSolver< SDPType >
• DualNorm() : GroupLpBall
• DualTreeBoruvka() : DualTreeBoruvka< MetricType, MatType, TreeType >
• DualTreeKMeans() : DualTreeKMeans< MetricType, MatType, TreeType >
• DualTreeKMeansRules() : DualTreeKMeansRules< MetricType, TreeType >
• DualTreeKMeansStatistic() : DualTreeKMeansStatistic
• DualTreeTraverser() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >