- 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 >