Here is a list of all class members with links to the classes they belong to:
- g -
- Gamma() : GaussianKernel
- GammaDistribution() : GammaDistribution
- GAN() : GAN< Model, InitializationRuleType, Noise, PolicyType >
- GAUSSIAN_KERNEL : FastMKSModel, KDEModel
- GaussianDistribution() : GaussianDistribution
- GaussianHMM() : HMMModel
- GaussianInitialization() : GaussianInitialization
- GaussianKernel() : GaussianKernel
- Gaussians() : DiagonalGMM, GMM
- Generate() : AddTask, CopyTask, SortTask, HMM< Distribution >
- Generator() : GAN< Model, InitializationRuleType, Noise, PolicyType >
- Get() : SumTree< T >, Timer
- GetAllTimers() : Timers
- GetBestChild() : FurthestNS, NearestNS, NeighborSearchRules< SortPolicy, MetricType, TreeType >
- 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() : SoftmaxRegressionFunction, LinearSVMFunction< MatType >
- GetInitialPoint() : LMNNFunction< MetricType >, SoftmaxErrorFunction< MetricType >, SparseAutoencoderFunction, SoftmaxRegressionFunction, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >
- 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 >
- 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() : CFModel, CFType< DecompositionPolicy, NormalizationType >
- 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 >
- GINI_BINARY : HoeffdingTreeModel
- GINI_HOEFFDING : HoeffdingTreeModel
- GiniBinaryTreeType : HoeffdingTreeModel
- GiniHoeffdingTreeType : HoeffdingTreeModel
- GivenInitialization() : GivenInitialization
- Glimpse() : Glimpse< InputDataType, OutputDataType >
- GlimpseSize() : Glimpse< InputDataType, OutputDataType >
- GlorotInitializationType() : GlorotInitializationType< Uniform >
- GMM() : GMM
- GMMHMM() : HMMModel
- GoOption() : GoOption< T >
- Gradient() : Add< InputDataType, OutputDataType >, AddMerge< InputDataType, OutputDataType, CustomLayers >, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, BatchNorm< InputDataType, OutputDataType >, BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, Concat< InputDataType, OutputDataType, CustomLayers >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, DropConnect< InputDataType, OutputDataType >, FastLSTM< InputDataType, OutputDataType >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, FlexibleReLU< InputDataType, OutputDataType >, GAN< Model, InitializationRuleType, Noise, PolicyType >, GRU< InputDataType, OutputDataType >, Highway< InputDataType, OutputDataType, CustomLayers >, LayerNorm< InputDataType, OutputDataType >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, Lookup< InputDataType, OutputDataType >, LSTM< InputDataType, OutputDataType >, MiniBatchDiscrimination< InputDataType, OutputDataType >, MultiheadAttention< InputDataType, OutputDataType, RegularizerType >, MultiplyMerge< InputDataType, OutputDataType, CustomLayers >, NoisyLinear< InputDataType, OutputDataType >, PReLU< InputDataType, OutputDataType >, RBM< InitializationRuleType, DataType, PolicyType >, Recurrent< InputDataType, OutputDataType, CustomLayers >, RecurrentAttention< InputDataType, OutputDataType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, Sequential< InputDataType, OutputDataType, Residual, CustomLayers >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, VirtualBatchNorm< InputDataType, OutputDataType >, WeightNorm< InputDataType, OutputDataType, CustomLayers >, CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs >, EpanechnikovKernel, GaussianKernel, LaplacianKernel, SphericalKernel, TriangularKernel, LMNNFunction< MetricType >, SoftmaxErrorFunction< MetricType >, SparseAutoencoderFunction, LogisticRegressionFunction< MatType >, SoftmaxRegressionFunction, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >, LinearSVMFunction< MatType >
- 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 >