- d -

• d : mlpack::tree::Octree< MetricType, StatisticType, MatType >::SplitInfo
• data : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType > , mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy > , mlpack::mvu::MVU , mlpack::nn::SparseAutoencoderFunction , mlpack::regression::SoftmaxRegressionFunction , mlpack::svd::RegularizedSVDFunction
• dataSet : mlpack::emst::DTBRules< MetricType, TreeType >
• dataset : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType > , mlpack::kmeans::NaiveKMeans< MetricType, MatType > , mlpack::kmeans::PellegMooreKMeans< MetricType, MatType > , mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType > , mlpack::nca::NCA< MetricType, OptimizerType > , mlpack::nca::SoftmaxErrorFunction< MetricType > , mlpack::svd::QUIC_SVD , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CosineTree , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• datasetInfo : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• datasetOrig : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
• datasets : mlpack::kernel::PSpectrumStringKernel
• dataSum : mlpack::ann::KathirvalavakumarSubavathiInitialization
• Debug : mlpack::Log
• decomposition : mlpack::pca::PCAType< DecompositionPolicy >
• defaultFunction : mlpack::util::ParamData
• degree : mlpack::kernel::PolynomialKernel
• deleteVisitor : mlpack::ann::AddMerge< InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::Sequential< InputDataType, OutputDataType >
• delta : mlpack::ann::Add< InputDataType, OutputDataType > , mlpack::ann::AddMerge< InputDataType, OutputDataType > , mlpack::ann::BackwardVisitor , mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , mlpack::ann::Constant< InputDataType, OutputDataType > , mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::ann::ELU< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::GradientVisitor , mlpack::ann::HardTanH< InputDataType, OutputDataType > , mlpack::ann::Join< InputDataType, OutputDataType > , mlpack::ann::LeakyReLU< InputDataType, OutputDataType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::LogSoftMax< InputDataType, OutputDataType > , mlpack::ann::Lookup< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::MeanSquaredError< InputDataType, OutputDataType > , mlpack::ann::MultiplyConstant< InputDataType, OutputDataType > , mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType > , mlpack::ann::PReLU< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::Select< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType > , mlpack::ann::VRClassReward< InputDataType, OutputDataType > , mlpack::pca::QUICSVDPolicy , mlpack::tree::CosineTree
• deltaVisitor : mlpack::ann::AddMerge< InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::Sequential< InputDataType, OutputDataType >
• denoise : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• denominators : mlpack::nca::SoftmaxErrorFunction< MetricType >
• denseA : mlpack::optimization::SDP< ObjectiveMatrixType >
• denseB : mlpack::optimization::SDP< ObjectiveMatrixType >
• depth : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• desc : mlpack::CLI , mlpack::util::ParamData
• DescentType : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• destination : mlpack::util::PrefixedOutStream
• deterministic : mlpack::ann::DeterministicSetVisitor , mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• dH : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• dictionary : mlpack::lcc::LocalCoordinateCoding , mlpack::sparse_coding::SparseCoding
• didParse : mlpack::CLI
• dim : mlpack::bound::HRectBound< MetricType, ElemType > , mlpack::tree::AxisParallelProjVector
• dimensionality : mlpack::adaboost::AdaBoostModel , mlpack::gmm::GMM , mlpack::hmm::HMM< Distribution >
• dimensionMappings : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• dimensionTypeOrMajorityClass : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• direction : mlpack::tree::RPTreeMaxSplit< BoundType, MatType >::SplitInfo , mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• discreteHMM : mlpack::hmm::HMMModel
• distance : mlpack::emst::EdgePair
• distanceCalculations : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType > , mlpack::kmeans::NaiveKMeans< MetricType, MatType > , mlpack::kmeans::PellegMooreKMeans< MetricType, MatType > , mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType >
• distanceComps : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• distanceEvaluations : mlpack::neighbor::LSHSearch< SortPolicy >
• distances : mlpack::neighbor::BiSearchVisitor< SortPolicy > , mlpack::neighbor::MonoSearchVisitor , mlpack::range::BiSearchVisitor , mlpack::range::MonoSearchVisitor , mlpack::range::RangeSearchRules< MetricType, TreeType >
• dists : mlpack::gmm::GMM
• doc : mlpack::CLI
• documentation : mlpack::util::ProgramDoc
• dsBoost : mlpack::adaboost::AdaBoostModel
• dualInfeasTol : mlpack::optimization::PrimalDualSolver< SDPType >
• dummy : mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >
• dW : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >