Here is a list of all class members with links to the classes they belong to:

- 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 >
• Dataset() : mlpack::nca::NCA< MetricType, OptimizerType >
• dataset : mlpack::nca::SoftmaxErrorFunction< MetricType >
• Dataset() : mlpack::neighbor::NSModel< SortPolicy > , mlpack::neighbor::RAModel< SortPolicy > , mlpack::range::RSModel
• dataset : mlpack::svd::QUIC_SVD
• Dataset() : mlpack::svd::RegularizedSVDFunction
• dataset : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• Dataset() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• dataset : mlpack::tree::CosineTree , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• Dataset() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• dataset : mlpack::tree::Octree< MetricType, StatisticType, MatType >
• Dataset() : mlpack::tree::Octree< MetricType, StatisticType, MatType >
• dataset : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Dataset() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• dataset : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Dataset() : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• datasetInfo : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• DatasetMapper() : mlpack::data::DatasetMapper< PolicyType >
• datasetOrig : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
• datasets : mlpack::kernel::PSpectrumStringKernel
• dataSum : mlpack::ann::KathirvalavakumarSubavathiInitialization
• DBSCAN() : mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy >
• Deactivate() : mlpack::regression::LARS
• Debug : mlpack::Log
• DECISION_STUMP : mlpack::adaboost::AdaBoostModel
• DecisionStump() : mlpack::decision_stump::DecisionStump< MatType >
• DecisionTree() : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• DecoalesceTree() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• DecodeAddress() : mlpack::Backtrace
• decomposition : mlpack::pca::PCAType< DecompositionPolicy >
• defaultFunction : mlpack::util::ParamData
• DefaultRank() : mlpack::matrix_completion::MatrixCompletion
• DefeatistDualTreeTraverser : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• DefeatistSingleTreeTraverser : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Degree() : mlpack::kernel::PolynomialKernel
• degree : mlpack::kernel::PolynomialKernel
• DeletePoint() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• 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 >
• Delta() : mlpack::ann::Add< InputDataType, OutputDataType >
• delta : mlpack::ann::AddMerge< InputDataType, OutputDataType >
• Delta() : mlpack::ann::AddMerge< InputDataType, OutputDataType >
• delta : mlpack::ann::BackwardVisitor , mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType >
• Delta() : mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType >
• delta : mlpack::ann::Concat< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Concat< InputDataType, OutputDataType >
• delta : mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >
• Delta() : mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >
• delta : mlpack::ann::Constant< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Constant< InputDataType, OutputDataType >
• delta : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• Delta() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• delta : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• Delta() : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• delta : mlpack::ann::Dropout< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Dropout< InputDataType, OutputDataType >
• delta : mlpack::ann::ELU< InputDataType, OutputDataType >
• Delta() : mlpack::ann::ELU< InputDataType, OutputDataType >
• delta : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::Glimpse< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• delta : mlpack::ann::GradientVisitor , mlpack::ann::HardTanH< InputDataType, OutputDataType >
• Delta() : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• delta : mlpack::ann::Join< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Join< InputDataType, OutputDataType >
• delta : mlpack::ann::LeakyReLU< InputDataType, OutputDataType >
• Delta() : mlpack::ann::LeakyReLU< InputDataType, OutputDataType >
• delta : mlpack::ann::Linear< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Linear< InputDataType, OutputDataType >
• delta : mlpack::ann::LinearNoBias< InputDataType, OutputDataType >
• Delta() : mlpack::ann::LinearNoBias< InputDataType, OutputDataType >
• delta : mlpack::ann::LogSoftMax< InputDataType, OutputDataType >
• Delta() : mlpack::ann::LogSoftMax< InputDataType, OutputDataType >
• delta : mlpack::ann::Lookup< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Lookup< InputDataType, OutputDataType >
• delta : mlpack::ann::LSTM< InputDataType, OutputDataType >
• Delta() : mlpack::ann::LSTM< InputDataType, OutputDataType >
• delta : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• Delta() : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• delta : mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• Delta() : mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• delta : mlpack::ann::MeanSquaredError< InputDataType, OutputDataType >
• Delta() : mlpack::ann::MeanSquaredError< InputDataType, OutputDataType >
• delta : mlpack::ann::MultiplyConstant< InputDataType, OutputDataType >
• Delta() : mlpack::ann::MultiplyConstant< InputDataType, OutputDataType >
• delta : mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType >
• Delta() : mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType >
• delta : mlpack::ann::PReLU< InputDataType, OutputDataType >
• Delta() : mlpack::ann::PReLU< InputDataType, OutputDataType >
• delta : mlpack::ann::Recurrent< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Recurrent< InputDataType, OutputDataType >
• delta : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• Delta() : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• delta : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• Delta() : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::Select< InputDataType, OutputDataType >
• delta : mlpack::ann::Select< InputDataType, OutputDataType >
• Delta() : mlpack::ann::Sequential< InputDataType, OutputDataType >
• delta : mlpack::ann::Sequential< InputDataType, OutputDataType >
• Delta() : mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• delta : mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• Delta() : mlpack::pca::QUICSVDPolicy
• delta : 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 >
• DemangleFunction() : mlpack::Backtrace
• denoise : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• denominators : mlpack::nca::SoftmaxErrorFunction< MetricType >
• denseA : mlpack::optimization::SDP< ObjectiveMatrixType >
• DenseA() : mlpack::optimization::SDP< ObjectiveMatrixType >
• denseB : mlpack::optimization::SDP< ObjectiveMatrixType >
• DenseB() : mlpack::optimization::SDP< ObjectiveMatrixType >
• depth : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• Deriv() : mlpack::ann::ELU< InputDataType, OutputDataType >
• deriv() : mlpack::ann::IdentityFunction
• Deriv() : mlpack::ann::LeakyReLU< InputDataType, OutputDataType >
• deriv() : mlpack::ann::LogisticFunction
• Deriv() : mlpack::ann::PReLU< InputDataType, OutputDataType >
• deriv() : mlpack::ann::RectifierFunction , mlpack::ann::SoftplusFunction , mlpack::ann::SoftsignFunction , mlpack::ann::TanhFunction
• desc : mlpack::CLI , mlpack::util::ParamData
• Descendant() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• DescentType : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• destination : mlpack::util::PrefixedOutStream
• Destroy() : mlpack::CLI
• deterministic : mlpack::ann::DeterministicSetVisitor
• Deterministic() : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• deterministic : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::Dropout< InputDataType, OutputDataType >
• deterministic : mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType >
• Deterministic() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• deterministic : mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::LSTM< InputDataType, OutputDataType >
• deterministic : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• deterministic : mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType >
• deterministic : mlpack::ann::Recurrent< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• deterministic : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• deterministic : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• Deterministic() : mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• DeterministicSetVisitor() : mlpack::ann::DeterministicSetVisitor
• dH : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• Diameter() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType >
• Dictionary() : mlpack::lcc::LocalCoordinateCoding
• dictionary : mlpack::lcc::LocalCoordinateCoding
• Dictionary() : mlpack::lcc::LocalCoordinateCoding , mlpack::sparse_coding::SparseCoding
• dictionary : mlpack::sparse_coding::SparseCoding
• Dictionary() : mlpack::sparse_coding::SparseCoding
• didParse : mlpack::CLI
• Dim() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType >
• dim : mlpack::bound::HRectBound< MetricType, ElemType >
• Dim() : mlpack::bound::HRectBound< MetricType, ElemType >
• dim : mlpack::tree::AxisParallelProjVector
• dimensionality : mlpack::adaboost::AdaBoostModel
• Dimensionality() : mlpack::adaboost::AdaBoostModel , mlpack::data::DatasetMapper< PolicyType > , mlpack::distribution::DiscreteDistribution , mlpack::distribution::GammaDistribution , mlpack::distribution::GaussianDistribution , mlpack::distribution::LaplaceDistribution , mlpack::distribution::RegressionDistribution
• dimensionality : mlpack::gmm::GMM
• Dimensionality() : mlpack::gmm::GMM
• dimensionality : mlpack::hmm::HMM< Distribution >
• Dimensionality() : 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
• DiscreteDistribution() : mlpack::distribution::DiscreteDistribution
• discreteHMM : mlpack::hmm::HMMModel
• Distance() : mlpack::emst::EdgePair
• distance : mlpack::emst::EdgePair
• DistanceCalculations() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• distanceCalculations : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• DistanceCalculations() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType >
• distanceCalculations : mlpack::kmeans::ElkanKMeans< MetricType, MatType >
• DistanceCalculations() : mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
• distanceCalculations : mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
• DistanceCalculations() : mlpack::kmeans::NaiveKMeans< MetricType, MatType >
• distanceCalculations : mlpack::kmeans::NaiveKMeans< MetricType, MatType >
• DistanceCalculations() : mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
• distanceCalculations : mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
• DistanceCalculations() : mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType >
• distanceCalculations : mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType >
• distanceComps : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• DistanceComps() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• DistanceEvaluations() : mlpack::neighbor::LSHSearch< SortPolicy >
• 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
• DoRadical() : mlpack::radical::Radical
• DoRadical2D() : mlpack::radical::Radical
• DownwardReSampling() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• DropConnect() : mlpack::ann::DropConnect< InputDataType, OutputDataType >
• Dropout() : mlpack::ann::Dropout< InputDataType, OutputDataType >
• DrusillaSelect() : mlpack::neighbor::DrusillaSelect< MatType >
• dsBoost : mlpack::adaboost::AdaBoostModel
• DTBRules() : mlpack::emst::DTBRules< MetricType, TreeType >
• DTBStat() : mlpack::emst::DTBStat
• DTree() : mlpack::det::DTree< MatType, TagType >
• DualInfeasTol() : mlpack::optimization::PrimalDualSolver< SDPType >
• dualInfeasTol : mlpack::optimization::PrimalDualSolver< SDPType >
• DualTreeBoruvka() : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• DualTreeKMeans() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• DualTreeKMeansRules() : mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType >
• DualTreeKMeansStatistic() : mlpack::kmeans::DualTreeKMeansStatistic
• DualTreeTraverser() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType > , mlpack::tree::Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• 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 >