- g -

• Gain() : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• Gamma() : mlpack::kernel::GaussianKernel
• GammaDistribution() : mlpack::distribution::GammaDistribution
• GaussianDistribution() : mlpack::distribution::GaussianDistribution
• GaussianKernel() : mlpack::kernel::GaussianKernel
• Gaussians() : mlpack::gmm::GMM
• GDTestFunction() : mlpack::optimization::test::GDTestFunction
• GeneralizedRosenbrockFunction() : mlpack::optimization::test::GeneralizedRosenbrockFunction
• Generate() : mlpack::hmm::HMM< Distribution >
• GenerateMove() : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• GenSeeds() : mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType >
• Get() : mlpack::Timer
• GetAdditionalProbingBins() : mlpack::neighbor::LSHSearch< SortPolicy >
• GetAddress() : mlpack::Backtrace
• GetAllTimers() : mlpack::Timers
• GetAveragePointDistance() : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >
• GetBestChild() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType >
• GetBoundSeeds() : mlpack::tree::RTreeSplit
• GetDataset() : mlpack::tree::CosineTree
• GetDotMedian() : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >
• GetFinalBasis() : mlpack::tree::CosineTree
• GetFurthestChild() : 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 >
• GetGroundTruthMatrix() : mlpack::regression::SoftmaxRegressionFunction
• GetInitialPoint() : mlpack::nca::SoftmaxErrorFunction< MetricType > , mlpack::nn::SparseAutoencoderFunction , mlpack::optimization::AugLagrangianFunction< LagrangianFunction > , mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType > , mlpack::optimization::test::GDTestFunction , mlpack::optimization::test::GeneralizedRosenbrockFunction , mlpack::optimization::test::RosenbrockFunction , mlpack::optimization::test::RosenbrockWoodFunction , mlpack::optimization::test::SGDTestFunction , mlpack::optimization::test::WoodFunction , mlpack::regression::LogisticRegressionFunction< MatType > , mlpack::regression::SoftmaxRegressionFunction , mlpack::svd::RegularizedSVDFunction
• GetKernelMatrix() : mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >
• GetMeanMedian() : mlpack::tree::RPTreeMeanSplit< BoundType, MatType >
• GetNearestChild() : 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 >
• GetNewFeatures() : mlpack::nn::SparseAutoencoder< OptimizerType >
• GetParam() : mlpack::CLI
• GetPointSeeds() : mlpack::tree::RTreeSplit
• GetProbabilitiesMatrix() : mlpack::regression::SoftmaxRegressionFunction
• GetProjVector() : mlpack::tree::SpaceSplit< MetricType, MatType >
• GetRawParam() : mlpack::CLI
• GetRecommendations() : mlpack::cf::CF
• GetResults() : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• GetSingleton() : mlpack::CLI
• GetSplitPolicy() : mlpack::tree::RPlusPlusTreeSplitPolicy , mlpack::tree::RPlusTreeSplitPolicy
• GetSplitVal() : mlpack::tree::RPTreeMaxSplit< BoundType, MatType >
• GetState() : mlpack::Timers
• GetTime() : mlpack::Timers
• GetTimer() : mlpack::Timers
• GetUnmappedParam() : mlpack::CLI
• GivenInitialization() : mlpack::amf::GivenInitialization
• GivensRotate() : mlpack::regression::LARS
• Glimpse() : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• GMM() : mlpack::gmm::GMM
• GockenbachFunction() : mlpack::optimization::GockenbachFunction
• Gradient() : mlpack::ann::Add< InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::Lookup< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::PReLU< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType > , mlpack::ann::Sequential< InputDataType, OutputDataType > , mlpack::kernel::EpanechnikovKernel , mlpack::kernel::GaussianKernel , mlpack::kernel::LaplacianKernel , mlpack::kernel::SphericalKernel , mlpack::kernel::TriangularKernel , mlpack::nca::SoftmaxErrorFunction< MetricType > , mlpack::nn::SparseAutoencoderFunction , mlpack::optimization::AugLagrangianFunction< LagrangianFunction > , mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType > , mlpack::optimization::test::GDTestFunction , mlpack::optimization::test::GeneralizedRosenbrockFunction , mlpack::optimization::test::RosenbrockFunction , mlpack::optimization::test::RosenbrockWoodFunction , mlpack::optimization::test::SGDTestFunction , mlpack::optimization::test::WoodFunction , mlpack::regression::LogisticRegressionFunction< MatType > , mlpack::regression::SoftmaxRegressionFunction , mlpack::svd::RegularizedSVDFunction
• GradientConstraint() : mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType >
• GradientDescent() : mlpack::optimization::GradientDescent< FunctionType >
• GradientForSquaredDistance() : mlpack::kernel::EpanechnikovKernel , mlpack::kernel::GaussianKernel
• GradientNormTooSmall() : mlpack::optimization::L_BFGS< FunctionType >
• GradientSetVisitor() : mlpack::ann::GradientSetVisitor
• GradientUpdateVisitor() : mlpack::ann::GradientUpdateVisitor
• GradientVisitor() : mlpack::ann::GradientVisitor
• GradientZeroVisitor() : mlpack::ann::GradientZeroVisitor
• Greater() : mlpack::emst::EdgePair
• GreedySingleTreeTraverser() : mlpack::tree::GreedySingleTreeTraverser< TreeType, RuleType >
• Grow() : mlpack::det::DTree< MatType, TagType >