- m -

• m : mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat > , mlpack::matrix_completion::MatrixCompletion , mlpack::neighbor::DrusillaSelect< MatType > , mlpack::neighbor::QDAFN< MatType > , mlpack::radical::Radical
• majorityClass : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• majorityProbability : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• mappedValue : mlpack::util::ParamData
• mapper : mlpack::data::Imputer< T, MapperType, StrategyType >
• mappings : mlpack::adaboost::AdaBoostModel
• maps : mlpack::data::DatasetMapper< PolicyType >
• mask : mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType >
• matGram : mlpack::regression::LARS
• matGramInternal : mlpack::regression::LARS
• matUtriCholFactor : mlpack::regression::LARS
• maxIterations : mlpack::amf::MaxIterationTermination , mlpack::amf::SimpleResidueTermination , mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType > , mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy > , mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , mlpack::lcc::LocalCoordinateCoding , mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType > , mlpack::optimization::AdaDelta< DecomposableFunctionType > , mlpack::optimization::Adam< DecomposableFunctionType > , mlpack::optimization::GradientDescent< FunctionType > , mlpack::optimization::L_BFGS< FunctionType > , mlpack::optimization::MiniBatchSGD< DecomposableFunctionType > , mlpack::optimization::PrimalDualSolver< SDPType > , mlpack::optimization::RMSprop< DecomposableFunctionType > , mlpack::optimization::SA< FunctionType, CoolingScheduleType > , mlpack::optimization::SGD< DecomposableFunctionType > , mlpack::pca::RandomizedSVDPolicy , mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , mlpack::sparse_coding::SparseCoding , mlpack::svd::RandomizedSVD
• maxLeafSize : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• maxLineSearchTrials : mlpack::optimization::L_BFGS< FunctionType >
• maxMove : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• maxNeighborDistance : mlpack::emst::DTBStat
• maxNumChildren : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• maxRange : mlpack::math::ColumnsToBlocks
• maxSamples : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• maxStep : mlpack::optimization::L_BFGS< FunctionType >
• maxToleranceSweep : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• maxVals : mlpack::det::DTree< MatType, TagType >
• maxValue : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• mean : mlpack::distribution::GaussianDistribution , mlpack::distribution::LaplaceDistribution , mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• means : mlpack::naive_bayes::NaiveBayesClassifier< MatType >
• meanSplit : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• mergeModule : mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• metric : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType > , 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 > , mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, 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::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 > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• mH : mlpack::amf::SVDBatchLearning
• minClusterDistances : mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType >
• minGradientNorm : mlpack::optimization::L_BFGS< FunctionType >
• minimumBoundDistance : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• minLeafSize : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• minNeighborDistance : mlpack::emst::DTBStat
• minNumChildren : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• minPointIterate : mlpack::optimization::L_BFGS< FunctionType >
• minPoints : mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy >
• minRange : mlpack::math::ColumnsToBlocks
• minResidue : mlpack::amf::SimpleResidueTermination
• minSamples : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• minStep : mlpack::optimization::L_BFGS< FunctionType >
• minVals : mlpack::det::DTree< MatType, TagType >
• minValue : mlpack::ann::HardTanH< InputDataType, OutputDataType >
• minWidth : mlpack::bound::HRectBound< MetricType, ElemType >
• missingSet : mlpack::data::MissingPolicy
• model : mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType >
• moduleInputParameter : mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >
• moduleOutputParameter : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• momentum : mlpack::amf::SVDBatchLearning
• moveCtrlSweep : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• moveSize : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• mu : mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• mW : mlpack::amf::SVDBatchLearning