- g -

• Gamma() : GaussianKernel
• GammaDistribution() : GammaDistribution
• GAN() : GAN< Model, InitializationRuleType, Noise, PolicyType >
• GaussianDistribution() : GaussianDistribution
• GaussianHMM() : HMMModel
• GaussianInitialization() : GaussianInitialization
• GaussianKernel() : GaussianKernel
• Gaussians() : GMM , DiagonalGMM
• Generate() : AddTask , CopyTask , SortTask , HMM< Distribution >
• Generator() : GAN< Model, InitializationRuleType, Noise, PolicyType >
• Get() : Timer , SumTree< T >
• GetAllTimers() : Timers
• GetBestChild() : FurthestNS , NearestNS , NeighborSearchRules< SortPolicy, MetricType, TreeType > , FurthestNS
• GetBindingDetails() : BindingInfo
• 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() : LinearSVMFunction< MatType > , SoftmaxRegressionFunction
• GetInitialPoint() : BiasSVDFunction< MatType > , LMNNFunction< MetricType > , SoftmaxErrorFunction< MetricType > , RegularizedSVDFunction< MatType > , SoftmaxRegressionFunction , SparseAutoencoderFunction , SVDPlusPlusFunction< MatType >
• GetKernelMatrix() : NystroemMethod< KernelType, PointSelectionPolicy >
• GetMatrixSize() : LoadCSV
• GetNearestChild() : Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• GetNeighborhood() : BatchSVDPolicy , BiasSVDPolicy , NMFPolicy , RandomizedSVDPolicy , RegSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDPlusPlusPolicy
• GetNewFeatures() : SparseAutoencoder
• GetNStepInfo() : PrioritizedReplay< EnvironmentType > , RandomReplay< EnvironmentType >
• GetParam() : IO
• GetPrintableParam() : IO
• GetProbabilitiesMatrix() : SoftmaxRegressionFunction
• GetProjVector() : SpaceSplit< MetricType, MatType >
• GetRating() : BatchSVDPolicy , BiasSVDPolicy , NMFPolicy , RandomizedSVDPolicy , RegSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDPlusPlusPolicy
• GetRatingOfUser() : BatchSVDPolicy , BiasSVDPolicy , NMFPolicy , RandomizedSVDPolicy , RegSVDPolicy , SVDCompletePolicy , SVDIncompletePolicy , SVDPlusPlusPolicy
• GetRawParam() : IO
• GetRecommendations() : CFType< DecompositionPolicy, NormalizationType > , CFModel
• GetResults() : FastMKSRules< KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• GetSingleton() : BindingInfo , IO
• GetSplitPolicy() : RPlusPlusTreeSplitPolicy , RPlusTreeSplitPolicy
• GetState() : Timers
• GetTimer() : Timers
• GetTransposeMatrixSize() : LoadCSV
• GetWeights() : AverageInterpolation , RegressionInterpolation , SimilarityInterpolation
• Gibbs() : RBM< InitializationRuleType, DataType, PolicyType >
• GivenInitialization() : GivenInitialization
• Glimpse() : Glimpse< InputDataType, OutputDataType >
• GlimpseSize() : Glimpse< InputDataType, OutputDataType >
• GlorotInitializationType() : GlorotInitializationType< Uniform >
• GMM() : GMM
• GMMHMM() : HMMModel
• GoOption() : GoOption< T >
• Gradient() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , SVDPlusPlusFunction< MatType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs > , FlexibleReLU< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , LMNNFunction< MetricType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , LinearSVMFunction< MatType > , LaplacianKernel , SoftmaxErrorFunction< MetricType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , PReLU< InputDataType, OutputDataType > , GaussianKernel , MiniBatchDiscrimination< InputDataType, OutputDataType > , LogisticRegressionFunction< MatType > , BiasSVDFunction< MatType > , VirtualBatchNorm< InputDataType, OutputDataType > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , RecurrentAttention< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , DropConnect< InputDataType, OutputDataType > , SoftmaxErrorFunction< MetricType > , RecurrentAttention< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , EpanechnikovKernel , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , LSTM< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , LMNNFunction< MetricType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , LayerNorm< InputDataType, OutputDataType > , SoftmaxRegressionFunction , Highway< InputDataType, OutputDataType, CustomLayers > , Linear< InputDataType, OutputDataType, RegularizerType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , VirtualBatchNorm< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , SVDPlusPlusFunction< MatType > , SoftmaxRegressionFunction , Concat< InputDataType, OutputDataType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , RBM< InitializationRuleType, DataType, PolicyType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Add< InputDataType, OutputDataType > , LinearSVMFunction< MatType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , RegularizedSVDFunction< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , GAN< Model, InitializationRuleType, Noise, PolicyType > , LSTM< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , Lookup< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , Lookup< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BiasSVDFunction< MatType > , BatchNorm< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , RegularizedSVDFunction< MatType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , SparseAutoencoderFunction , LayerNorm< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Linear< InputDataType, OutputDataType, RegularizerType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , FlexibleReLU< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , VirtualBatchNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , GRU< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , SphericalKernel , LogisticRegressionFunction< MatType > , Add< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , TriangularKernel , AddMerge< InputDataType, OutputDataType, CustomLayers > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
• GradientForSquaredDistance() : EpanechnikovKernel , GaussianKernel
• GradientLimit() : TrainingConfig
• GradientSetVisitor() : GradientSetVisitor
• GradientUpdateVisitor() : GradientUpdateVisitor
• GradientVisitor() : GradientVisitor
• GradientZeroVisitor() : GradientZeroVisitor
• Greater() : EdgePair
• GreedyPolicy() : GreedyPolicy< EnvironmentType >
• GreedySingleTreeTraverser() : GreedySingleTreeTraverser< TreeType, RuleType >
• Grow() : DTree< MatType, TagType >
• GRU() : GRU< InputDataType, OutputDataType >