Here is a list of all class members with links to the classes they belong to:

- f -

• factor : LRegularizer< TPower > , OrthogonalRegularizer
• FastLSTM() : FastLSTM< InputDataType, OutputDataType >
• FastMKS() : FastMKS< KernelType, MatType, TreeType >
• FastMKSModel() : FastMKSModel
• FastMKSRules() : FastMKSRules< KernelType, TreeType >
• FastMKSStat() : FastMKSStat
• Fatal : Log
• FeatureSize() : LinearSVM< MatType > , SoftmaxRegression
• FFN() : FFN< OutputLayerType, InitializationRuleType, CustomLayers >
• Filter() : HMM< Distribution > , HMMRegression
• Find() : UnionFind
• FindBucket() : DTree< MatType, TagType >
• FindByBeginCount() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• FindPrefixSum() : SumTree< T >
• FirstBound() : NeighborSearchStat< SortPolicy >
• FirstLeafExact() : RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• FirstPointIsCentroid : TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMaxSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMeanSplit > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::BallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::HollowBallBound, SplitType > > , TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::CellBound, SplitType > > , TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > > , TreeTraits< Octree< MetricType, StatisticType, MatType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > > , TreeTraits< RectangleTree< MetricType, StatisticType, MatType, RPlusTreeSplit< SplitPolicyType, SweepType >, DescentType, AuxiliaryInformationType > > , TreeTraits< SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > > , TreeTraits< TreeType >
• Fit() : MaxAbsScaler , MeanNormalization , MinMaxScaler , PCAWhitening , StandardScaler , ZCAWhitening , ScalingModel
• FitIntercept() : LinearSVM< MatType > , LinearSVMFunction< MatType > , SoftmaxRegression , SoftmaxRegressionFunction
• FlexibleReLU() : FlexibleReLU< InputDataType, OutputDataType >
• Fn() : IdentityFunction , LogisticFunction , RectifierFunction , SoftplusFunction , SoftsignFunction , SwishFunction , TanhFunction , HardSigmoidFunction
• format : PathCacher
• FormatID_LR : PathCacher
• FormatLR : PathCacher
• FormatLR_ID : PathCacher
• Forward() : MaxPooling< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Subview< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , LSTM< InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , LeakyReLU< InputDataType, OutputDataType >
• forward : DoublePoleCart
• Forward() : HardTanH< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , MultiplyConstant< InputDataType, OutputDataType > , HMM< Distribution > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers >
• forward : MountainCar , CartPole
• Forward() : Padding< InputDataType, OutputDataType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , Add< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , MiniBatchDiscrimination< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Join< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , Dropout< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , GAN< Model, InitializationRuleType, Noise, PolicyType > , VRClassReward< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType >
• ForwardVisitor() : ForwardVisitor
• FreeEnergy() : RBM< InitializationRuleType, DataType, PolicyType >
• FrobNormSquared() : CosineTree
• functionMap : CLI
• FunctionMapType : CLI
• FurthestDescendantDistance() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Octree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType >
• FurthestPointDistance() : Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >