- g -
- Gain()
: SA< CoolingScheduleType >
- Gamma()
: GaussianKernel
- GammaDistribution()
: GammaDistribution
- GaussianDistribution()
: GaussianDistribution
- GaussianHMM()
: HMMModel
- GaussianInitialization()
: GaussianInitialization
- GaussianKernel()
: GaussianKernel
- Gaussians()
: GMM
- GDTestFunction()
: GDTestFunction
- GeneralizedRosenbrockFunction()
: GeneralizedRosenbrockFunction
- Generate()
: AddTask
, CopyTask
, SortTask
, HMM< Distribution >
- Get()
: Timer
- GetAllTimers()
: Timers
- GetBestChild()
: NeighborSearchRules< SortPolicy, MetricType, TreeType >
, FurthestNeighborSort
, NearestNeighborSort
- GetDataset()
: CosineTree
- GetFinalBasis()
: CosineTree
- GetFurthestChild()
: BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
, Octree< MetricType, StatisticType, MatType >
, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- GetGroundTruthMatrix()
: SoftmaxRegressionFunction
- GetInitialPoint()
: SGDTestFunction
, SphereFunction
, StyblinskiTangFunction
, WoodFunction
, LRSDPFunction< SDPType >
, LogisticRegressionFunction< MatType >
, SoftmaxErrorFunction< MetricType >
, RegularizedSVDFunction< MatType >
, SoftmaxRegressionFunction
, SparseAutoencoderFunction
, AugLagrangianFunction< LagrangianFunction >
, AugLagrangianTestFunction
, GockenbachFunction
, LovaszThetaSDP
, GDTestFunction
, SparseTestFunction
, BoothFunction
, BukinFunction
, ColvilleFunction
, DropWaveFunction
, EasomFunction
, EggholderFunction
, GeneralizedRosenbrockFunction
, MatyasFunction
, McCormickFunction
, RastriginFunction
, RosenbrockFunction
, RosenbrockWoodFunction
, SchwefelFunction
- GetKernelMatrix()
: NystroemMethod< KernelType, PointSelectionPolicy >
- GetMatrixSize()
: LoadCSV
- GetNearestChild()
: BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
, Octree< MetricType, StatisticType, MatType >
, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- GetNewFeatures()
: SparseAutoencoder
- GetParam()
: CLI
- GetPrintableParam()
: CLI
- GetProbabilitiesMatrix()
: SoftmaxRegressionFunction
- GetProjVector()
: SpaceSplit< MetricType, MatType >
- GetRawParam()
: CLI
- GetRecommendations()
: CFType
- GetResults()
: FastMKSRules< KernelType, TreeType >
, NeighborSearchRules< SortPolicy, MetricType, TreeType >
, RASearchRules< SortPolicy, MetricType, TreeType >
- GetSingleton()
: CLI
- GetSplitPolicy()
: RPlusPlusTreeSplitPolicy
, RPlusTreeSplitPolicy
- GetState()
: Timers
- GetTimer()
: Timers
- GetTransposeMatrixSize()
: LoadCSV
- GivenInitialization()
: GivenInitialization
- Glimpse()
: Glimpse< InputDataType, OutputDataType >
- GlorotInitializationType()
: GlorotInitializationType< Uniform >
- GMM()
: GMM
- GMMHMM()
: HMMModel
- GockenbachFunction()
: GockenbachFunction
- Gradient()
: GeneralizedRosenbrockFunction
, LRSDPFunction< SDPType >
, DropConnect< InputDataType, OutputDataType >
, PReLU< InputDataType, OutputDataType >
, EasomFunction
, DropWaveFunction
, ColvilleFunction
, BukinFunction
, RecurrentAttention< InputDataType, OutputDataType >
, BoothFunction
, SparseTestFunction
, SoftmaxErrorFunction< MetricType >
, TestFuncFW
, FuncSq
, AddGradientStatic< FunctionType, true, false >
, AddDecomposableGradient< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableGradient >
, AddGradientStatic< FunctionType, HasEvaluateWithGradient, HasGradient >
, AddGradientConst< FunctionType, true, false >
, AugLagrangianFunction< LagrangianFunction >
, AddDecomposableGradient< FunctionType, HasDecomposableEvaluateWithGradient, true >
, AddGradient< FunctionType, true, false >
, AddGradient< FunctionType, HasEvaluateWithGradient, true >
, AddGradient< FunctionType, HasEvaluateWithGradient, HasGradient >
, AddDecomposableGradient< FunctionType, true, false >
, AddDecomposableGradientStatic< FunctionType, HasDecomposableEvaluateWithGradient, true >
, AddDecomposableGradientConst< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableGradient >
, RecurrentAttention< InputDataType, OutputDataType >
, AddDecomposableGradientConst< FunctionType, HasDecomposableEvaluateWithGradient, true >
, AddDecomposableGradientConst< FunctionType, true, false >
, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, AddDecomposableGradientStatic< FunctionType, HasDecomposableEvaluateWithGradient, HasDecomposableGradient >
, PReLU< InputDataType, OutputDataType >
, AddDecomposableEvaluateWithGradient< FunctionType, true, false, true >
, LovaszThetaSDP
, GockenbachFunction
, AugLagrangianTestFunction
, AugLagrangianFunction< LagrangianFunction >
, TriangularKernel
, SphericalKernel
, Sequential< InputDataType, OutputDataType, CustomLayers >
, GaussianKernel
, EpanechnikovKernel
, CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs >
, Recurrent< InputDataType, OutputDataType, CustomLayers >
, AddDecomposableGradientStatic< FunctionType, true, false >
, SoftmaxErrorFunction< MetricType >
, AddGradientConst< FunctionType, HasEvaluateWithGradient, HasGradient >
, AddGradientConst< FunctionType, HasEvaluateWithGradient, true >
, Linear< InputDataType, OutputDataType >
, LayerNorm< InputDataType, OutputDataType >
, SGDTestFunction
, Recurrent< InputDataType, OutputDataType, CustomLayers >
, LinearNoBias< InputDataType, OutputDataType >
, DropConnect< InputDataType, OutputDataType >
, StyblinskiTangFunction
, RegularizedSVDFunction< MatType >
, LinearNoBias< InputDataType, OutputDataType >
, LSTM< InputDataType, OutputDataType >
, Concat< InputDataType, OutputDataType, CustomLayers >
, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, AddGradientStatic< FunctionType, HasEvaluateWithGradient, true >
, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, RecurrentAttention< InputDataType, OutputDataType >
, LSTM< InputDataType, OutputDataType >
, WoodFunction
, BatchNorm< InputDataType, OutputDataType >
, SphereFunction
, Sequential< InputDataType, OutputDataType, CustomLayers >
, SGDTestFunction
, RosenbrockWoodFunction
, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, RastriginFunction
, MatyasFunction
, GeneralizedRosenbrockFunction
, EggholderFunction
, FastLSTM< InputDataType, OutputDataType >
, LogisticRegressionFunction< MatType >
, RNN< OutputLayerType, InitializationRuleType, CustomLayers >
, BukinFunction
, LogisticRegressionFunction< MatType >
, LSTM< InputDataType, OutputDataType >
, GDTestFunction
, PReLU< InputDataType, OutputDataType >
, DropConnect< InputDataType, OutputDataType >
, Lookup< InputDataType, OutputDataType >
, FastLSTM< InputDataType, OutputDataType >
, FFN< OutputLayerType, InitializationRuleType, CustomLayers >
, BatchNorm< InputDataType, OutputDataType >
, Sequential< InputDataType, OutputDataType, CustomLayers >
, EggholderFunction
, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, GRU< InputDataType, OutputDataType >
, SoftmaxRegressionFunction
, LaplacianKernel
, LayerNorm< InputDataType, OutputDataType >
, SparseAutoencoderFunction
, RegularizedSVDFunction< MatType >
, RosenbrockWoodFunction
, SchwefelFunction
, AugLagrangianFunction< LagrangianFunction >
, FlexibleReLU< InputDataType, OutputDataType >
, StyblinskiTangFunction
, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, FastLSTM< InputDataType, OutputDataType >
, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, Add< InputDataType, OutputDataType >
, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, BatchNorm< InputDataType, OutputDataType >
, SchwefelFunction
, McCormickFunction
, Concat< InputDataType, OutputDataType, CustomLayers >
, Add< InputDataType, OutputDataType >
, Lookup< InputDataType, OutputDataType >
, Add< InputDataType, OutputDataType >
, SphereFunction
, LinearNoBias< InputDataType, OutputDataType >
, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
, SparseSVMFunction
, WoodFunction
, RosenbrockFunction
, Linear< InputDataType, OutputDataType >
, FlexibleReLU< InputDataType, OutputDataType >
, GRU< InputDataType, OutputDataType >
, McCormickFunction
, Lookup< InputDataType, OutputDataType >
, RosenbrockFunction
, MatyasFunction
, GRU< InputDataType, OutputDataType >
, FlexibleReLU< InputDataType, OutputDataType >
- GradientClipping()
: GradientClipping< UpdatePolicyType >
- GradientConstraint()
: AugLagrangianTestFunction
, LovaszThetaSDP
, GockenbachFunction
, LRSDPFunction< SDPType >
- GradientDescent()
: GradientDescent
- GradientForSquaredDistance()
: GaussianKernel
, EpanechnikovKernel
- GradientLimit()
: TrainingConfig
- GradientSetVisitor()
: GradientSetVisitor
- GradientUpdateVisitor()
: GradientUpdateVisitor
- GradientVisitor()
: GradientVisitor
- GradientZeroVisitor()
: GradientZeroVisitor
- Greater()
: EdgePair
- GreedyPolicy()
: GreedyPolicy< EnvironmentType >
- GreedySingleTreeTraverser()
: GreedySingleTreeTraverser< TreeType, RuleType >
- GroupLpBall()
: GroupLpBall
- Grow()
: DTree< MatType, TagType >
- GRU()
: GRU< InputDataType, OutputDataType >