- d -

• Data() : Acrobot::State , CartPole::State , ContinuousDoublePoleCart::State , DiscreteActionEnv::State , ContinuousActionEnv::State , ContinuousMountainCar::State , MountainCar::State , Pendulum::State , ContinuousDoublePoleCart::State , DoublePoleCart::State
• DataOffset() : BayesianLinearRegression
• DataScale() : BayesianLinearRegression
• Dataset() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BiasSVDFunction< MatType > , LinearSVMFunction< MatType > , LMNN< MetricType, OptimizerType > , LMNNFunction< MetricType > , NCA< MetricType, OptimizerType > , NSModel< SortPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RSModel , RAModel< SortPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RegularizedSVDFunction< MatType > , SVDPlusPlusFunction< MatType >
• DatasetMapper() : DatasetMapper< PolicyType, InputType >
• DBSCAN() : DBSCAN< RangeSearchType, PointSelectionPolicy >
• DecisionStump() : DecisionStump< MatType >
• DecisionTree() : DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >
• Decomposition() : CFType< DecompositionPolicy, NormalizationType >
• Degree() : PolynomialKernel
• DeletePoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Delta() : BaseLayer< ActivationFunction, InputDataType, OutputDataType > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , PositionalEncoding< InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , CELU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , CELU< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , ReinforceNormal< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , Reparametrization< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , Concatenate< InputDataType, OutputDataType > , Softmax< InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , Softmin< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , SoftShrink< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , SpatialDropout< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , Dropout< InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , HuberLoss< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , LinearSVM< MatType > , FastLSTM< InputDataType, OutputDataType > , QUICSVDPolicy , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , HardShrink< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , AdaptiveMaxPooling< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , Add< InputDataType, OutputDataType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , Add< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , LogSoftMax< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType >
• Denormalize() : CombinedNormalization< NormalizationTypes > , ItemMeanNormalization , NoNormalization , OverallMeanNormalization , UserMeanNormalization , ZScoreNormalization
• Depth() : Glimpse< InputDataType, OutputDataType >
• Deriv() : ElliotFunction , SoftplusFunction , ElishFunction , ElliotFunction , GaussianFunction , GELUFunction , HardSigmoidFunction , SoftsignFunction , TanhFunction , IdentityFunction , InvQuadFunction , LiSHTFunction , LogisticFunction , SoftsignFunction , SwishFunction , MishFunction , TanhFunction , SplineFunction , Poisson1Function , SplineFunction , GELUFunction , QuadraticFunction , RectifierFunction , SoftplusFunction , MishFunction , Poisson1Function , SwishFunction , QuadraticFunction , MultiQuadFunction , InvQuadFunction , LogisticFunction , IdentityFunction
• Descendant() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , ExampleTree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Octree< MetricType, StatisticType, MatType >
• Deterministic() : GRU< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , SpatialDropout< InputDataType, OutputDataType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType > , QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType > , ReinforceNormal< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , Glimpse< InputDataType, OutputDataType > , CELU< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , CELU< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType >
• DeterministicSetVisitor() : DeterministicSetVisitor
• DiagGMMHMM() : HMMModel
• DiagonalGaussianDistribution() : DiagonalGaussianDistribution
• DiagonalGMM() : DiagonalGMM
• Diameter() : HRectBound< MetricType, ElemType > , HollowBallBound< TMetricType, ElemType > , BallBound< MetricType, VecType >
• DiceLoss() : DiceLoss< InputDataType, OutputDataType >
• Dictionary() : StringEncoding< EncodingPolicyType, DictionaryType > , LocalCoordinateCoding , SparseCoding
• DilationHeight() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• DilationWidth() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• Dim() : BallBound< MetricType, VecType > , HRectBound< MetricType, ElemType > , HollowBallBound< TMetricType, ElemType >
• Dimensionality() : GammaDistribution , DatasetMapper< PolicyType, InputType > , AdaBoostModel , HMM< Distribution > , DiagonalGMM , DiagonalGaussianDistribution , HMM< Distribution > , DiscreteDistribution , RegressionDistribution , GaussianDistribution , AdaBoostModel , LaplaceDistribution , GMM , NormalDistribution< DataType >
• Dimensions() : AllDimensionSelect , RandomDimensionSelect , MultipleRandomDimensionSelect , AllDimensionSelect , RandomDimensionSelect , MultipleRandomDimensionSelect
• DisableTiming() : Timer
• Discount() : TrainingConfig
• DiscreteDistribution() : DiscreteDistribution
• DiscreteHMM() : HMMModel
• Discriminator() : GAN< Model, InitializationRuleType, Noise, PolicyType >
• Distance() : EdgePair
• DistanceCalculations() : PellegMooreKMeansRules< MetricType, TreeType > , NaiveKMeans< MetricType, MatType > , PellegMooreKMeansRules< MetricType, TreeType > , DualTreeKMeans< MetricType, MatType, TreeType > , ElkanKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType >
• DistanceComps() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• DistanceEvaluations() : LSHSearch< SortPolicy, MatType >
• DoRadical() : Radical
• DoRadical2D() : Radical
• DoublePoleCart() : DoublePoleCart
• DoubleQLearning() : TrainingConfig
• DropConnect() : DropConnect< InputDataType, OutputDataType >
• Dropout() : Dropout< InputDataType, OutputDataType >
• DrusillaSelect() : DrusillaSelect< MatType >
• Dsdt() : DoublePoleCart , Acrobot , ContinuousDoublePoleCart
• DTBRules() : DTBRules< MetricType, TreeType >
• DTBStat() : DTBStat
• DTree() : DTree< MatType, TagType >
• DualBiKDE() : DualBiKDE
• DualMonoKDE() : DualMonoKDE
• DualTreeBoruvka() : DualTreeBoruvka< MetricType, MatType, TreeType >
• DualTreeKMeans() : DualTreeKMeans< MetricType, MatType, TreeType >
• DualTreeKMeansRules() : DualTreeKMeansRules< MetricType, TreeType >
• DualTreeKMeansStatistic() : DualTreeKMeansStatistic
• DualTreeTraverser() : Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >
• DuelingDQN() : DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType >