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

- c -

• c : mlpack::optimization::SDP< ObjectiveMatrixType >
• C() : mlpack::optimization::SDP< ObjectiveMatrixType >
• c_index : mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >
• c_indexOld : mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >
• CalculateBound() : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType >
• CalculateCentroid() : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType > , mlpack::tree::CosineTree
• CalculateClassProbabilities() : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• CalculateCosines() : mlpack::tree::CosineTree
• CalculateDirection() : mlpack::tree::AllCategoricalSplit< FitnessFunction > , mlpack::tree::BestBinaryNumericSplit< FitnessFunction > , mlpack::tree::BinaryNumericSplitInfo< ObservationType > , mlpack::tree::CategoricalSplitInfo , mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , mlpack::tree::NumericSplitInfo< ObservationType >
• CalculateEntropy() : mlpack::decision_stump::DecisionStump< MatType >
• Candidate : mlpack::cf::CF , mlpack::fastmks::FastMKS< KernelType, MatType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::LSHSearch< SortPolicy > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• candidate : mlpack::radical::Radical
• CandidateIndices() : mlpack::neighbor::DrusillaSelect< MatType >
• candidateIndices : mlpack::neighbor::DrusillaSelect< MatType >
• CandidateIndices() : mlpack::neighbor::DrusillaSelect< MatType >
• CandidateList : mlpack::fastmks::FastMKS< KernelType, MatType, TreeType > , mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::LSHSearch< SortPolicy > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• candidates : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• CandidateSet() : mlpack::neighbor::DrusillaSelect< MatType >
• candidateSet : mlpack::neighbor::DrusillaSelect< MatType >
• CandidateSet() : mlpack::neighbor::QDAFN< MatType >
• candidateSet : mlpack::neighbor::QDAFN< MatType >
• carriageReturned : mlpack::util::PrefixedOutStream
• CategoricalAuxiliarySplitInfo : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• CategoricalSplit : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• categoricalSplit : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• CategoricalSplitInfo() : mlpack::tree::CategoricalSplitInfo
• categoricalSplits : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• cellActivationError : mlpack::ann::LSTM< InputDataType, OutputDataType >
• cellActivationModule : mlpack::ann::LSTM< InputDataType, OutputDataType >
• cellModule : mlpack::ann::LSTM< InputDataType, OutputDataType >
• cellParameter : mlpack::ann::LSTM< InputDataType, OutputDataType >
• Center() : mlpack::bound::BallBound< MetricType, VecType >
• center : mlpack::bound::BallBound< MetricType, VecType >
• Center() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType >
• center : mlpack::bound::HollowBallBound< TMetricType, ElemType >
• Center() : mlpack::bound::HRectBound< MetricType, ElemType > , mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::Octree< MetricType, StatisticType, MatType >
• center : mlpack::tree::Octree< MetricType, StatisticType, MatType >::SplitInfo
• Center() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• centerTransformedData : mlpack::kpca::KernelPCA< KernelType, KernelRule >
• CenterTransformedData() : mlpack::kpca::KernelPCA< KernelType, KernelRule >
• centroid : mlpack::kmeans::DualTreeKMeansStatistic
• Centroid() : mlpack::kmeans::DualTreeKMeansStatistic
• centroid : mlpack::kmeans::PellegMooreKMeansStatistic
• Centroid() : mlpack::kmeans::PellegMooreKMeansStatistic
• centroid : mlpack::tree::CosineTree
• Centroid() : mlpack::tree::CosineTree , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType >
• centroids : mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType > , mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType >
• CF() : mlpack::cf::CF
• checkInterval : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• CheckInterval() : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• CheckLeafSweep() : mlpack::tree::MinimalCoverageSweep< SplitPolicy >
• CheckNonLeafSweep() : mlpack::tree::MinimalCoverageSweep< SplitPolicy >
• CheckValues() : mlpack::matrix_completion::MatrixCompletion
• Child() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion > , mlpack::tree::ExampleTree< MetricType, StatisticType, MatType > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• ChildPtr() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• children : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• Children() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• children : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• Children() : mlpack::tree::HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >
• children : mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• chk() : mlpack::data::HasSerialize< T >
• CholeskyDelete() : mlpack::regression::LARS
• CholeskyInsert() : mlpack::regression::LARS
• ChooseDescentNode() : mlpack::tree::HilbertRTreeDescentHeuristic , mlpack::tree::RPlusPlusTreeDescentHeuristic , mlpack::tree::RPlusTreeDescentHeuristic , mlpack::tree::RStarTreeDescentHeuristic , mlpack::tree::RTreeDescentHeuristic
• ChooseRoot() : mlpack::tree::FirstPointIsRoot
• ChooseScalingFactor() : mlpack::optimization::L_BFGS< FunctionType >
• classCounts : mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType >
• Classes() : mlpack::adaboost::AdaBoost< WeakLearnerType, MatType >
• classes : mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > , mlpack::decision_stump::DecisionStump< MatType >
• Classify() : mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > , mlpack::adaboost::AdaBoostModel , mlpack::decision_stump::DecisionStump< MatType > , mlpack::gmm::GMM , mlpack::naive_bayes::NaiveBayesClassifier< MatType > , mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , mlpack::regression::LogisticRegression< MatType > , mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , mlpack::tree::HoeffdingTreeModel
• classProbabilities : mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
• CleanData() : mlpack::cf::CF
• CleanedData() : mlpack::cf::CF
• cleanedData : mlpack::cf::CF
• CleanMemory() : mlpack::range::RSModel
• Cleanup() : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• CleanupHelper() : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• Clear() : mlpack::bound::HRectBound< MetricType, ElemType >
• CLI() : mlpack::CLI
• CLIDeleter() : mlpack::util::CLIDeleter
• Cluster() : mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy > , mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , mlpack::kmeans::RandomPartition , mlpack::kmeans::RefinedStart , mlpack::kmeans::SampleInitialization , mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• clusterDistances : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType >
• clusterer : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• Clusterer() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• CoalesceTree() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• Cols() : mlpack::math::ColumnsToBlocks
• cols : mlpack::math::ColumnsToBlocks
• columnMajor : mlpack::data::Imputer< T, MapperType, StrategyType >
• ColumnSampleLS() : mlpack::tree::CosineTree
• ColumnSamplesLS() : mlpack::tree::CosineTree
• ColumnsToBlocks() : mlpack::math::ColumnsToBlocks
• CombineBest() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• CombineWorst() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• CompleteIncrementalTermination() : mlpack::amf::CompleteIncrementalTermination< TerminationPolicy >
• Component() : mlpack::gmm::GMM
• ComponentMembership() : mlpack::emst::DTBStat
• componentMembership : mlpack::emst::DTBStat
• ComponentMembership() : mlpack::emst::DTBStat
• ComputeAccuracy() : mlpack::regression::LogisticRegression< MatType > , mlpack::regression::SoftmaxRegression< OptimizerType >
• ComputeDistances() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• ComputeError() : mlpack::regression::LinearRegression , mlpack::regression::LogisticRegression< MatType >
• ComputeMST() : mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• ComputeRecall() : mlpack::neighbor::LSHSearch< SortPolicy >
• ComputeValue() : mlpack::det::DTree< MatType, TagType >
• ComputeVariableImportance() : mlpack::det::DTree< MatType, TagType >
• ComputeYHatDirection() : mlpack::regression::LARS
• Concat() : mlpack::ann::Concat< InputDataType, OutputDataType >
• ConcatPerformance() : mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >
• CondenseTree() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• connections : mlpack::emst::DTBRules< MetricType, TreeType > , mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType >
• Constant() : mlpack::ann::Constant< InputDataType, OutputDataType >
• constantOutput : mlpack::ann::Constant< InputDataType, OutputDataType >
• Constraint() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• constraint : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• Constraint() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• ConstructBasis() : mlpack::tree::CosineTree
• Contains() : mlpack::bound::BallBound< MetricType, VecType > , mlpack::bound::HollowBallBound< TMetricType, ElemType > , mlpack::bound::HRectBound< MetricType, ElemType > , mlpack::math::RangeType< T >
• Converged() : mlpack::distribution::GammaDistribution
• ConvertToDistance() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• ConvertToScore() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• Convolution() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::FFTConvolution< BorderMode, padLastDim > , mlpack::ann::NaiveConvolution< BorderMode > , mlpack::ann::SVDConvolution< BorderMode >
• ConvolutionIntegral() : mlpack::kernel::EpanechnikovKernel , mlpack::kernel::ExampleKernel , mlpack::kernel::GaussianKernel , mlpack::kernel::SphericalKernel
• ConvOutSize() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• coolingSchedule : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• CopyAndPerturb() : mlpack::radical::Radical
• cosine : mlpack::fastmks::FastMKSModel
• COSINE_DISTANCE : mlpack::fastmks::FastMKSModel
• CosineNodeSplit() : mlpack::tree::CosineTree
• CosineTree() : mlpack::tree::CosineTree
• count : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• Count() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• count : mlpack::tree::Octree< MetricType, StatisticType, MatType >
• Count() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• count : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• CountMostFreq() : mlpack::decision_stump::DecisionStump< MatType >
• counts : mlpack::kernel::PSpectrumStringKernel
• Counts() : mlpack::kernel::PSpectrumStringKernel
• counts : mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType >
• cout : mlpack::Log
• Covariance() : mlpack::distribution::GaussianDistribution
• covariance : mlpack::distribution::GaussianDistribution
• Covariance() : mlpack::distribution::GaussianDistribution , mlpack::metric::MahalanobisDistance< TakeRoot >
• covariance : mlpack::metric::MahalanobisDistance< TakeRoot >
• COVER_TREE : mlpack::neighbor::NSModel< SortPolicy > , mlpack::neighbor::RAModel< SortPolicy > , mlpack::range::RSModel
• CoverTree() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• coverTreeRA : mlpack::neighbor::RAModel< SortPolicy >
• covLower : mlpack::distribution::GaussianDistribution
• CreateChildren() : mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• currentInput : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• currentItemIndex : mlpack::amf::SVDCompleteIncrementalLearning< MatType >
• currentTarget : mlpack::ann::FFN< OutputLayerType, InitializationRuleType >
• currentUserIndex : mlpack::amf::SVDCompleteIncrementalLearning< MatType > , mlpack::amf::SVDIncompleteIncrementalLearning
• CustomImputation() : mlpack::data::CustomImputation< T >
• customValue : mlpack::data::CustomImputation< T >