Here is a list of all class members with links to the classes they belong to:
- m -
- m
: mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >
, mlpack::matrix_completion::MatrixCompletion
, mlpack::radical::Radical
- MahalanobisDistance()
: mlpack::metric::MahalanobisDistance< TakeRoot >
- MajorityClass()
: mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType >
, mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction >
, mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
, mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- majorityClass
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- MajorityProbability()
: mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType >
, mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction >
, mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
, mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- majorityProbability
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- maps
: mlpack::data::DatasetInfo
- MapString()
: mlpack::data::DatasetInfo
- Mat
: mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
, mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- matGram
: mlpack::regression::LARS
- matGramInternal
: mlpack::regression::LARS
- MatrixCompletion()
: mlpack::matrix_completion::MatrixCompletion
- MatUtriCholFactor()
: mlpack::regression::LARS
- matUtriCholFactor
: mlpack::regression::LARS
- MaxDistance()
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::bound::HRectBound< MetricType >
, 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 >
- MaxIterations()
: mlpack::amf::CompleteIncrementalTermination< TerminationPolicy >
, mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy >
- maxIterations
: mlpack::amf::MaxIterationTermination
- MaxIterations()
: mlpack::amf::MaxIterationTermination
- maxIterations
: mlpack::amf::SimpleResidueTermination
- MaxIterations()
: mlpack::amf::SimpleResidueTermination
- maxIterations
: mlpack::amf::SimpleToleranceTermination< MatType >
- MaxIterations()
: mlpack::amf::SimpleToleranceTermination< MatType >
- maxIterations
: mlpack::amf::ValidationRMSETermination< MatType >
- MaxIterations()
: mlpack::amf::ValidationRMSETermination< MatType >
, mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
- maxIterations
: mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
- MaxIterations()
: mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- maxIterations
: mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- MaxIterations()
: mlpack::lcc::LocalCoordinateCoding
- maxIterations
: mlpack::lcc::LocalCoordinateCoding
- MaxIterations()
: mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
- maxIterations
: mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
, mlpack::optimization::L_BFGS< FunctionType >
- MaxIterations()
: mlpack::optimization::L_BFGS< FunctionType >
- maxIterations
: mlpack::optimization::PrimalDualSolver< SDPType >
- MaxIterations()
: mlpack::optimization::PrimalDualSolver< SDPType >
- maxIterations
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- MaxIterations()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- maxIterations
: mlpack::optimization::SGD< DecomposableFunctionType >
- MaxIterations()
: mlpack::optimization::SGD< DecomposableFunctionType >
, mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
- maxIterations
: mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
- MaxIterations()
: mlpack::sparse_coding::SparseCoding
- maxIterations
: mlpack::sparse_coding::SparseCoding
- MaxIterationTermination()
: mlpack::amf::MaxIterationTermination
- maxLeafSize
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MaxLeafSize()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MaxLineSearchTrials()
: mlpack::optimization::L_BFGS< FunctionType >
- maxLineSearchTrials
: mlpack::optimization::L_BFGS< FunctionType >
- MaxMove()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- maxMove
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- maxNeighborDistance
: mlpack::emst::DTBStat
- MaxNeighborDistance()
: mlpack::emst::DTBStat
- maxNumChildren
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MaxNumChildren()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MaxRange()
: mlpack::math::ColumnsToBlocks
- maxRange
: mlpack::math::ColumnsToBlocks
- maxSamples
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- MaxSamples()
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- MaxStep()
: mlpack::optimization::L_BFGS< FunctionType >
- maxStep
: mlpack::optimization::L_BFGS< FunctionType >
- MaxToleranceSweep()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- maxToleranceSweep
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- maxVals
: mlpack::det::DTree
- MaxVals()
: mlpack::det::DTree
- MaxVarianceNewCluster()
: mlpack::kmeans::MaxVarianceNewCluster
- mean
: mlpack::distribution::GaussianDistribution
- Mean()
: mlpack::distribution::GaussianDistribution
, mlpack::distribution::LaplaceDistribution
- mean
: mlpack::distribution::LaplaceDistribution
- Mean()
: mlpack::distribution::LaplaceDistribution
- Means()
: mlpack::naive_bayes::NaiveBayesClassifier< MatType >
- means
: mlpack::naive_bayes::NaiveBayesClassifier< MatType >
- MeanShift()
: mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
- MergeRanges()
: mlpack::decision_stump::DecisionStump< MatType >
- Metric()
: mlpack::bound::BallBound< VecType, TMetricType >
- metric
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::emst::DTBRules< MetricType, TreeType >
, mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
- Metric()
: mlpack::fastmks::FastMKS< KernelType, MatType, TreeType >
- metric
: mlpack::fastmks::FastMKS< KernelType, MatType, TreeType >
, mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
, mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType >
, mlpack::kmeans::ElkanKMeans< MetricType, MatType >
, mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
- Metric()
: mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- metric
: mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- Metric()
: mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
- metric
: 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::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, TraversalType >
, mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType >
, mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType >
, mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
, mlpack::range::RangeSearch< MetricType, MatType, TreeType >
, mlpack::range::RangeSearchRules< MetricType, TreeType >
- Metric()
: mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
- metric
: mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
- Metric()
: mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
- metric
: mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
- Metric()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MetricType
: mlpack::bound::BallBound< VecType, TMetricType >
- mH
: mlpack::amf::SVDBatchLearning
- Mid()
: mlpack::math::RangeType< T >
- minClusterDistances
: mlpack::kmeans::ElkanKMeans< MetricType, MatType >
, mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
- MinDistance()
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::bound::HRectBound< MetricType >
, 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 >
- minGradientNorm
: mlpack::optimization::L_BFGS< FunctionType >
- MinGradientNorm()
: mlpack::optimization::L_BFGS< FunctionType >
- minimumBoundDistance
: mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
- MinimumBoundDistance()
: mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
, mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MinimumSamplesReqd()
: mlpack::neighbor::RAUtil
- MinLeafSize()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- minLeafSize
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MinLeafSize()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MinNeighborDistance()
: mlpack::emst::DTBStat
- minNeighborDistance
: mlpack::emst::DTBStat
- MinNeighborDistance()
: mlpack::emst::DTBStat
- minNumChildren
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- MinNumChildren()
: mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType >
- minPointIterate
: mlpack::optimization::L_BFGS< FunctionType >
- MinPointIterate()
: mlpack::optimization::L_BFGS< FunctionType >
- MinRange()
: mlpack::math::ColumnsToBlocks
- minRange
: mlpack::math::ColumnsToBlocks
- MinRange()
: mlpack::math::ColumnsToBlocks
- MinResidue()
: mlpack::amf::SimpleResidueTermination
- minResidue
: mlpack::amf::SimpleResidueTermination
- minSamples
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- MinSamples()
: mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- MinStep()
: mlpack::optimization::L_BFGS< FunctionType >
- minStep
: mlpack::optimization::L_BFGS< FunctionType >
- MinStep()
: mlpack::optimization::L_BFGS< FunctionType >
- minVals
: mlpack::det::DTree
- MinVals()
: mlpack::det::DTree
- MinWidth()
: mlpack::bound::BallBound< VecType, TMetricType >
, mlpack::bound::HRectBound< MetricType >
- minWidth
: mlpack::bound::HRectBound< MetricType >
- ModifiedGramSchmidt()
: mlpack::tree::CosineTree
- momentum
: mlpack::amf::SVDBatchLearning
- MonteCarloError()
: mlpack::tree::CosineTree
- MoveControl()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- moveCtrlSweep
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- MoveCtrlSweep()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- MoveSize()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- moveSize
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- MoveSize()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- MoveToUsedSet()
: mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
- mW
: mlpack::amf::SVDBatchLearning