- g -
- Gain()
: mlpack::optimization::SA< FunctionType, CoolingScheduleType >
- Gamma()
: mlpack::kernel::GaussianKernel
- GaussianDistribution()
: mlpack::distribution::GaussianDistribution
- GaussianKernel()
: mlpack::kernel::GaussianKernel
- Gaussians()
: mlpack::gmm::GMM
- 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
- GetAllTimers()
: mlpack::Timers
- GetBoundSeeds()
: mlpack::tree::RTreeSplit
- GetDataset()
: mlpack::tree::CosineTree
- GetDescription()
: mlpack::CLI
- GetFinalBasis()
: mlpack::tree::CosineTree
- 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::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 >
- GetNewFeatures()
: mlpack::nn::SparseAutoencoder< OptimizerType >
- GetParam()
: mlpack::CLI
- GetPointSeeds()
: mlpack::tree::RTreeSplit
- GetProbabilitiesMatrix()
: mlpack::regression::SoftmaxRegressionFunction
- GetRecommendations()
: mlpack::cf::CF
- GetSingleton()
: mlpack::CLI
- GetState()
: mlpack::Timers
- GetTime()
: mlpack::Timers
- GetTimer()
: mlpack::Timers
- GivensRotate()
: mlpack::regression::LARS
- GMM()
: mlpack::gmm::GMM
- GockenbachFunction()
: mlpack::optimization::GockenbachFunction
- Gradient()
: 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::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 >
- GradientForSquaredDistance()
: mlpack::kernel::EpanechnikovKernel
, mlpack::kernel::GaussianKernel
- GradientNormTooSmall()
: mlpack::optimization::L_BFGS< FunctionType >
- Greater()
: mlpack::emst::EdgePair
- Grow()
: mlpack::det::DTree