Here is a list of all class members with links to the classes they belong to:
- d -
- d
: mlpack::tree::RStarTreeSplit::SortStruct
, mlpack::tree::XTreeSplit::sortStruct
- data
: mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
, mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >
, 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::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- Dataset()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- DatasetInfo()
: mlpack::data::DatasetInfo
- datasetInfo
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- datasetOrig
: mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
, mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
- datasets
: mlpack::kernel::PSpectrumStringKernel
- Deactivate()
: mlpack::regression::LARS
- Debug
: mlpack::Log
- DecisionStump()
: mlpack::decision_stump::DecisionStump< MatType >
- DecoalesceTree()
: mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
- DefaultMessages()
: mlpack::CLI
- DefaultRank()
: mlpack::matrix_completion::MatrixCompletion
- Degree()
: mlpack::kernel::PolynomialKernel
- degree
: mlpack::kernel::PolynomialKernel
- DeletePoint()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- delta
: mlpack::tree::CosineTree
- 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 >
- desc
: mlpack::CLI
, mlpack::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::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- destination
: mlpack::util::PrefixedOutStream
- Destroy()
: mlpack::CLI
- Diameter()
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::bound::HRectBound< MetricType >
- Dictionary()
: mlpack::lcc::LocalCoordinateCoding
- dictionary
: mlpack::lcc::LocalCoordinateCoding
- Dictionary()
: mlpack::sparse_coding::SparseCoding
- dictionary
: mlpack::sparse_coding::SparseCoding
- didParse
: mlpack::CLI
- Dim()
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::bound::HRectBound< MetricType >
- dim
: mlpack::bound::HRectBound< MetricType >
- Dimensionality()
: mlpack::data::DatasetInfo
, mlpack::distribution::DiscreteDistribution
, 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 >
- DiscreteDistribution()
: mlpack::distribution::DiscreteDistribution
- 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::ElkanKMeans< MetricType, MatType >
- DistanceCalculations()
: mlpack::kmeans::ElkanKMeans< MetricType, MatType >
, mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
- distanceCalculations
: mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
, mlpack::kmeans::NaiveKMeans< MetricType, MatType >
- DistanceCalculations()
: mlpack::kmeans::NaiveKMeans< MetricType, MatType >
- distanceCalculations
: mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
- DistanceCalculations()
: mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
, 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::NeighborSearchRules< SortPolicy, MetricType, TreeType >
, mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
, mlpack::range::RangeSearchRules< MetricType, TreeType >
- dists
: mlpack::gmm::GMM
- doc
: mlpack::CLI
- documentation
: mlpack::util::ProgramDoc
- DoRadical()
: mlpack::radical::Radical
- DoRadical2D()
: mlpack::radical::Radical
- DTBRules()
: mlpack::emst::DTBRules< MetricType, TreeType >
- DTBStat()
: mlpack::emst::DTBStat
- DTree()
: mlpack::det::DTree
- 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::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType >
- dummy
: mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >