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::neighbor::DrusillaSelect< MatType > , mlpack::neighbor::QDAFN< MatType > , mlpack::radical::Radical
• MahalanobisDistance() : mlpack::metric::MahalanobisDistance< TakeRoot >
• MajorityClass() : mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType > , mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction > , mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType >
• majorityClass : 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 >
• MappedType : mlpack::data::IncrementPolicy , mlpack::data::MissingPolicy
• mappedValue : mlpack::util::ParamData
• Mapper() : mlpack::data::Imputer< T, MapperType, StrategyType >
• mapper : mlpack::data::Imputer< T, MapperType, StrategyType >
• Mappings() : mlpack::adaboost::AdaBoostModel
• mappings : mlpack::adaboost::AdaBoostModel
• maps : mlpack::data::DatasetMapper< PolicyType >
• MapString() : mlpack::data::DatasetMapper< PolicyType > , mlpack::data::IncrementPolicy , mlpack::data::MissingPolicy
• MapTokens() : mlpack::data::DatasetMapper< PolicyType > , mlpack::data::IncrementPolicy , mlpack::data::MissingPolicy
• MapType : mlpack::data::DatasetMapper< PolicyType >
• mask : mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType >
• Mat : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , 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 >
• matGram : mlpack::regression::LARS
• matGramInternal : mlpack::regression::LARS
• MatrixCompletion() : mlpack::matrix_completion::MatrixCompletion
• matUtriCholFactor : mlpack::regression::LARS
• MatUtriCholFactor() : mlpack::regression::LARS
• MAX_RP_TREE : mlpack::neighbor::NSModel< SortPolicy > , mlpack::range::RSModel
• MaxDistance() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType > , 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 >
• 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 >
• maxIterations : 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 > , mlpack::lcc::LocalCoordinateCoding
• maxIterations : mlpack::lcc::LocalCoordinateCoding
• MaxIterations() : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• maxIterations : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType > , mlpack::optimization::AdaDelta< DecomposableFunctionType >
• MaxIterations() : mlpack::optimization::AdaDelta< DecomposableFunctionType >
• maxIterations : mlpack::optimization::Adam< DecomposableFunctionType >
• MaxIterations() : mlpack::optimization::Adam< DecomposableFunctionType >
• maxIterations : mlpack::optimization::GradientDescent< FunctionType >
• MaxIterations() : mlpack::optimization::GradientDescent< FunctionType >
• maxIterations : mlpack::optimization::L_BFGS< FunctionType >
• MaxIterations() : mlpack::optimization::L_BFGS< FunctionType >
• maxIterations : mlpack::optimization::MiniBatchSGD< DecomposableFunctionType >
• MaxIterations() : mlpack::optimization::MiniBatchSGD< DecomposableFunctionType >
• maxIterations : mlpack::optimization::PrimalDualSolver< SDPType >
• MaxIterations() : mlpack::optimization::PrimalDualSolver< SDPType >
• maxIterations : mlpack::optimization::RMSprop< DecomposableFunctionType >
• MaxIterations() : mlpack::optimization::RMSprop< DecomposableFunctionType >
• maxIterations : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• MaxIterations() : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• maxIterations : mlpack::optimization::SGD< DecomposableFunctionType >
• MaxIterations() : mlpack::optimization::SGD< DecomposableFunctionType > , mlpack::pca::RandomizedSVDPolicy
• maxIterations : mlpack::pca::RandomizedSVDPolicy
• MaxIterations() : mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• maxIterations : mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >
• MaxIterations() : mlpack::sparse_coding::SparseCoding
• maxIterations : mlpack::sparse_coding::SparseCoding
• MaxIterations() : mlpack::svd::RandomizedSVD
• maxIterations : mlpack::svd::RandomizedSVD
• MaxIterationTermination() : mlpack::amf::MaxIterationTermination
• MaxLeafSize() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• maxLeafSize : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• 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, AuxiliaryInformationType >
• maxNumChildren : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MaxPooling() : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• 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< MatType, TagType >
• maxVals : mlpack::det::DTree< MatType, TagType >
• MaxValue() : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• maxValue : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• MaxVarianceNewCluster() : mlpack::kmeans::MaxVarianceNewCluster
• mean : mlpack::distribution::GaussianDistribution
• Mean() : mlpack::distribution::GaussianDistribution
• mean : mlpack::distribution::LaplaceDistribution
• Mean() : mlpack::distribution::LaplaceDistribution
• mean : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MeanPooling() : mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• Means() : mlpack::naive_bayes::NaiveBayesClassifier< MatType >
• means : mlpack::naive_bayes::NaiveBayesClassifier< MatType >
• Means() : mlpack::naive_bayes::NaiveBayesClassifier< MatType >
• MeanShift() : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• meanSplit : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MeanSquaredError() : mlpack::ann::MeanSquaredError< InputDataType, OutputDataType >
• mergeModule : mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• MergeRanges() : mlpack::decision_stump::DecisionStump< MatType >
• metric : mlpack::bound::BallBound< MetricType, VecType >
• Metric() : mlpack::bound::BallBound< MetricType, VecType >
• metric : mlpack::bound::HollowBallBound< TMetricType, ElemType >
• Metric() : mlpack::bound::HollowBallBound< TMetricType, ElemType >
• metric : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType > , mlpack::fastmks::FastMKS< KernelType, MatType, TreeType >
• Metric() : mlpack::fastmks::FastMKS< KernelType, MatType, TreeType >
• metric : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType > , 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, DualTreeTraversalType, SingleTreeTraversalType > , 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 > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
• Metric() : mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
• metric : mlpack::tree::Octree< MetricType, StatisticType, MatType >
• Metric() : mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• metric : mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• MetricType : mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >
• mH : mlpack::amf::SVDBatchLearning
• Mid() : mlpack::math::RangeType< T >
• minClusterDistances : mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
• MinDistance() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType > , 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 >
• MinGradientNorm() : mlpack::optimization::L_BFGS< FunctionType >
• minGradientNorm : mlpack::optimization::L_BFGS< FunctionType >
• MinGradientNorm() : mlpack::optimization::L_BFGS< FunctionType >
• MiniBatchSGD() : mlpack::optimization::MiniBatchSGD< DecomposableFunctionType >
• 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::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• minimumBoundDistance : mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• MinimumSamplesReqd() : mlpack::neighbor::RAUtil
• minLeafSize : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinLeafSize() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinNeighborDistance() : mlpack::emst::DTBStat
• minNeighborDistance : mlpack::emst::DTBStat
• MinNeighborDistance() : mlpack::emst::DTBStat
• MinNumChildren() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• minNumChildren : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinNumChildren() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• minPointIterate : mlpack::optimization::L_BFGS< FunctionType >
• MinPointIterate() : mlpack::optimization::L_BFGS< FunctionType >
• minPoints : mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy >
• MinRange() : mlpack::math::ColumnsToBlocks
• minRange : mlpack::math::ColumnsToBlocks
• MinResidue() : mlpack::amf::SimpleResidueTermination
• minResidue : mlpack::amf::SimpleResidueTermination
• MinResidue() : mlpack::amf::SimpleResidueTermination
• MinSamples() : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• 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 >
• MinVals() : mlpack::det::DTree< MatType, TagType >
• minVals : mlpack::det::DTree< MatType, TagType >
• MinValue() : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• minValue : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• MinWidth() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType >
• minWidth : mlpack::bound::HRectBound< MetricType, ElemType >
• MinWidth() : mlpack::bound::HRectBound< MetricType, ElemType >
• MissingPolicy() : mlpack::data::MissingPolicy
• missingSet : mlpack::data::MissingPolicy
• Model() : mlpack::ann::Concat< InputDataType, OutputDataType >
• model : mlpack::ann::Concat< InputDataType, OutputDataType >
• Model() : mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType >
• model : mlpack::ann::Sequential< InputDataType, OutputDataType >
• ModifiedGramSchmidt() : mlpack::tree::CosineTree
• moduleInputParameter : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• moduleOutputParameter : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• momentum : mlpack::amf::SVDBatchLearning
• MonoSearchVisitor() : mlpack::neighbor::MonoSearchVisitor , mlpack::range::MonoSearchVisitor
• 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 >
• MoveToUsedSet() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• mu : mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• MultiplyConstant() : mlpack::ann::MultiplyConstant< InputDataType, OutputDataType >
• MVU() : mlpack::mvu::MVU
• mW : mlpack::amf::SVDBatchLearning