- d -
- Data() : Acrobot::State, CartPole::State, ContinuousActionEnv::State, ContinuousDoublePoleCart::State, ContinuousMountainCar::State, DiscreteActionEnv::State, DoublePoleCart::State, MountainCar::State, Pendulum::State
- DataOffset() : BayesianLinearRegression
- DataScale() : BayesianLinearRegression
- Dataset() : LMNN< MetricType, OptimizerType >, LMNNFunction< MetricType >, NCA< MetricType, OptimizerType >, NSModel< SortPolicy >, RAModel< SortPolicy >, RSModel, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >, LinearSVMFunction< MatType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- 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() : AdaptiveMaxPooling< InputDataType, OutputDataType >, AdaptiveMeanPooling< InputDataType, OutputDataType >, 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 >, CELU< InputDataType, OutputDataType >, Concat< InputDataType, OutputDataType, CustomLayers >, Concatenate< InputDataType, OutputDataType >, ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >, Constant< InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, CosineEmbeddingLoss< InputDataType, OutputDataType >, CReLU< InputDataType, OutputDataType >, DropConnect< InputDataType, OutputDataType >, Dropout< InputDataType, OutputDataType >, ELU< InputDataType, OutputDataType >, FastLSTM< InputDataType, OutputDataType >, FlexibleReLU< InputDataType, OutputDataType >, Glimpse< InputDataType, OutputDataType >, GRU< InputDataType, OutputDataType >, HardShrink< InputDataType, OutputDataType >, HardTanH< InputDataType, OutputDataType >, Highway< InputDataType, OutputDataType, CustomLayers >, HuberLoss< InputDataType, OutputDataType >, Join< InputDataType, OutputDataType >, LayerNorm< InputDataType, OutputDataType >, LeakyReLU< InputDataType, OutputDataType >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, LogSoftMax< InputDataType, OutputDataType >, Lookup< InputDataType, OutputDataType >, LSTM< InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, MiniBatchDiscrimination< InputDataType, OutputDataType >, MultiheadAttention< InputDataType, OutputDataType, RegularizerType >, MultiplyConstant< InputDataType, OutputDataType >, MultiplyMerge< InputDataType, OutputDataType, CustomLayers >, NegativeLogLikelihood< InputDataType, OutputDataType >, NoisyLinear< InputDataType, OutputDataType >, Padding< InputDataType, OutputDataType >, PositionalEncoding< InputDataType, OutputDataType >, PReLU< InputDataType, OutputDataType >, RBF< InputDataType, OutputDataType, Activation >, Recurrent< InputDataType, OutputDataType, CustomLayers >, RecurrentAttention< InputDataType, OutputDataType >, ReinforceNormal< InputDataType, OutputDataType >, Reparametrization< InputDataType, OutputDataType >, Select< InputDataType, OutputDataType >, Sequential< InputDataType, OutputDataType, Residual, CustomLayers >, Softmax< InputDataType, OutputDataType >, Softmin< InputDataType, OutputDataType >, SoftShrink< InputDataType, OutputDataType >, SpatialDropout< InputDataType, OutputDataType >, Subview< InputDataType, OutputDataType >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, VirtualBatchNorm< InputDataType, OutputDataType >, VRClassReward< InputDataType, OutputDataType >, WeightNorm< InputDataType, OutputDataType, CustomLayers >, QUICSVDPolicy, LinearSVM< MatType >
- Denormalize() : CombinedNormalization< NormalizationTypes >, ItemMeanNormalization, NoNormalization, OverallMeanNormalization, UserMeanNormalization, ZScoreNormalization
- Depth() : Glimpse< InputDataType, OutputDataType >
- Deriv() : ElishFunction, ElliotFunction, GaussianFunction, GELUFunction, HardSigmoidFunction, IdentityFunction, InvQuadFunction, LiSHTFunction, LogisticFunction, MishFunction, MultiQuadFunction, Poisson1Function, QuadraticFunction, RectifierFunction, SoftplusFunction, SoftsignFunction, SplineFunction, SwishFunction, TanhFunction
- Descendant() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, ExampleTree< MetricType, StatisticType, MatType >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- Deterministic() : AlphaDropout< InputDataType, OutputDataType >, BatchNorm< InputDataType, OutputDataType >, CELU< InputDataType, OutputDataType >, DropConnect< InputDataType, OutputDataType >, Dropout< InputDataType, OutputDataType >, ELU< InputDataType, OutputDataType >, Glimpse< InputDataType, OutputDataType >, 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 >
- DeterministicSetVisitor() : DeterministicSetVisitor
- DiagGMMHMM() : HMMModel
- DiagonalGaussianDistribution() : DiagonalGaussianDistribution
- DiagonalGMM() : DiagonalGMM
- Diameter() : BallBound< MetricType, VecType >, HollowBallBound< TMetricType, ElemType >, HRectBound< MetricType, ElemType >
- 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 >, HollowBallBound< TMetricType, ElemType >, HRectBound< MetricType, ElemType >
- Dimensionality() : AdaBoostModel, NormalDistribution< DataType >, DatasetMapper< PolicyType, InputType >, DiagonalGaussianDistribution, DiscreteDistribution, GammaDistribution, GaussianDistribution, LaplaceDistribution, RegressionDistribution, DiagonalGMM, GMM, HMM< Distribution >
- Dimensions() : AllDimensionSelect, MultipleRandomDimensionSelect, RandomDimensionSelect
- DisableTiming() : Timer
- Discount() : TrainingConfig
- DiscreteDistribution() : DiscreteDistribution
- DiscreteHMM() : HMMModel
- Discriminator() : GAN< Model, InitializationRuleType, Noise, PolicyType >
- Distance() : EdgePair
- DistanceCalculations() : DualTreeKMeans< MetricType, MatType, TreeType >, ElkanKMeans< MetricType, MatType >, HamerlyKMeans< MetricType, MatType >, NaiveKMeans< MetricType, MatType >, PellegMooreKMeans< MetricType, MatType >, PellegMooreKMeansRules< MetricType, TreeType >
- 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() : Acrobot, ContinuousDoublePoleCart, DoublePoleCart
- 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() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >, Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- DuelingDQN() : DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType >