Here is a list of all class members with links to the classes they belong to:
- i -
- ignoreInput : PrefixedOutStream
- ImageInfo() : ImageInfo
- ImplicitData() : SVDPlusPlusPolicy
- ImplicitDataset() : SVDPlusPlusFunction< MatType >
- Impostors() : Constraints< MetricType >
- Impute() : CustomImputation< T >, Imputer< T, MapperType, StrategyType >, ListwiseDeletion< T >, MeanImputation< T >, MedianImputation< T >
- Imputer() : Imputer< T, MapperType, StrategyType >
- IncludeKL() : Reparametrization< InputDataType, OutputDataType >
- InColSize() : BilinearInterpolation< InputDataType, OutputDataType >
- IncompleteIncrementalTermination() : IncompleteIncrementalTermination< TerminationPolicy >
- IncrementPolicy() : IncrementPolicy
- InDepth() : BilinearInterpolation< InputDataType, OutputDataType >
- Index() : CompleteIncrementalTermination< TerminationPolicy >, IncompleteIncrementalTermination< TerminationPolicy >, MaxIterationTermination, SimpleResidueTermination, SimpleToleranceTermination< MatType >, ValidationRMSETermination< MatType >, Select< InputDataType, OutputDataType >
- index : FixedArg< T, I >
- Info : Log
- INFO_BINARY : HoeffdingTreeModel
- INFO_HOEFFDING : HoeffdingTreeModel
- InfoBinaryTreeType : HoeffdingTreeModel
- InfoHoeffdingTreeType : HoeffdingTreeModel
- Initial() : HMM< Distribution >
- Initialize() : AverageInitialization, CompleteIncrementalTermination< TerminationPolicy >, GivenInitialization, IncompleteIncrementalTermination< TerminationPolicy >, MaxIterationTermination, MergeInitialization< WInitializationRuleType, HInitializationRuleType >, NMFALSUpdate, NMFMultiplicativeDistanceUpdate, NMFMultiplicativeDivergenceUpdate, RandomAcolInitialization< columnsToAverage >, RandomInitialization, SimpleResidueTermination, SimpleToleranceTermination< MatType >, SVDBatchLearning, SVDCompleteIncrementalLearning< MatType >, SVDCompleteIncrementalLearning< arma::sp_mat >, SVDIncompleteIncrementalLearning, ValidationRMSETermination< MatType >, ConstInitialization, GaussianInitialization, GlorotInitializationType< Uniform >, HeInitialization, KathirvalavakumarSubavathiInitialization, LecunNormalInitialization, NetworkInitialization< InitializationRuleType, CustomLayers >, NguyenWidrowInitialization, OivsInitialization< ActivationFunction >, OrthogonalInitialization, RandomInitialization, ZeroInitialization, NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, DataDependentRandomInitializer, NothingInitializer, RandomInitializer
- InitializeOne() : AverageInitialization, GivenInitialization, RandomInitialization
- InitializeRule() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
- InitializeWeights() : SparseAutoencoderFunction, SoftmaxRegressionFunction, LinearSVMFunction< MatType >
- InitialPoint() : LinearSVMFunction< MatType >
- InitialSample() : Acrobot, CartPole, ContinuousActionEnv, ContinuousDoublePoleCart, ContinuousMountainCar, DiscreteActionEnv, DoublePoleCart, MountainCar, Pendulum, RewardClipping< EnvironmentType >
- initialSampleSize : KDEDefaultParams
- InitMatrix() : BagOfWordsEncodingPolicy, DictionaryEncodingPolicy, TfIdfEncodingPolicy
- InitValue() : ConstInitialization
- initValue() : ConstInitialization
- InnerRadius() : HollowBallBound< TMetricType, ElemType >
- input : ParamData
- InputElemType : FastLSTM< InputDataType, OutputDataType >
- InputHeight() : AdaptiveMaxPooling< InputDataType, OutputDataType >, AdaptiveMeanPooling< InputDataType, OutputDataType >, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Glimpse< InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- InputParameter() : AddMerge< InputDataType, OutputDataType, CustomLayers >, Concat< InputDataType, OutputDataType, CustomLayers >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, CosineEmbeddingLoss< InputDataType, OutputDataType >, Highway< InputDataType, OutputDataType, CustomLayers >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, MiniBatchDiscrimination< InputDataType, OutputDataType >, NegativeLogLikelihood< InputDataType, OutputDataType >, NoisyLinear< InputDataType, OutputDataType >, PoissonNLLLoss< InputDataType, OutputDataType >, PositionalEncoding< InputDataType, OutputDataType >, RBF< InputDataType, OutputDataType, Activation >, Sequential< InputDataType, OutputDataType, Residual, CustomLayers >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- InputSize() : AdaptiveMaxPooling< InputDataType, OutputDataType >, AdaptiveMeanPooling< InputDataType, OutputDataType >, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, BatchNorm< InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Linear3D< InputDataType, OutputDataType, RegularizerType >, Linear< InputDataType, OutputDataType, RegularizerType >, LinearNoBias< InputDataType, OutputDataType, RegularizerType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, NoisyLinear< InputDataType, OutputDataType >, RBF< InputDataType, OutputDataType, Activation >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- InputWidth() : AdaptiveMaxPooling< InputDataType, OutputDataType >, AdaptiveMeanPooling< InputDataType, OutputDataType >, AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, Glimpse< InputDataType, OutputDataType >, MaxPooling< InputDataType, OutputDataType >, MeanPooling< InputDataType, OutputDataType >, TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
- InRowSize() : BilinearInterpolation< InputDataType, OutputDataType >
- InsertNeighbor() : NeighborSearchRules< SortPolicy, MetricType, TreeType >
- InsertNode() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- InsertPoint() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
- InSize() : ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >, FastLSTM< InputDataType, OutputDataType >, Glimpse< InputDataType, OutputDataType >, GRU< InputDataType, OutputDataType >, Highway< InputDataType, OutputDataType, CustomLayers >, LayerNorm< InputDataType, OutputDataType >, LSTM< InputDataType, OutputDataType >, Subview< InputDataType, OutputDataType >, VirtualBatchNorm< InputDataType, OutputDataType >
- Intercept() : LinearRegression
- Inv() : LogisticFunction, SoftplusFunction, SoftsignFunction, TanhFunction
- InvCov() : GaussianDistribution
- InverseTransform() : MaxAbsScaler, MeanNormalization, MinMaxScaler, PCAWhitening, ScalingModel, StandardScaler, ZCAWhitening
- IoU() : IoU< UseCoordinates >
- IPMetric() : IPMetric< KernelType >
- IsBetter() : FurthestNS, NearestNS
- IsBiasLayer : LayerTraits< LayerType >
- IsBinary : LayerTraits< LayerType >
- IsCategorical() : TrainingConfig
- IsConnection : LayerTraits< LayerType >
- IsConverged() : CompleteIncrementalTermination< TerminationPolicy >, IncompleteIncrementalTermination< TerminationPolicy >, MaxIterationTermination, SimpleResidueTermination, SimpleToleranceTermination< MatType >, ValidationRMSETermination< MatType >
- isEnd : PrioritizedReplay< EnvironmentType >::Transition, RandomReplay< EnvironmentType >::Transition
- IsLeaf() : 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 >
- IsLSTMLayer : LayerTraits< LayerType >
- IsNormalized : KernelTraits< KernelType >, KernelTraits< CauchyKernel >, KernelTraits< CosineDistance >, KernelTraits< EpanechnikovKernel >, KernelTraits< GaussianKernel >, KernelTraits< LaplacianKernel >, KernelTraits< SphericalKernel >, KernelTraits< TriangularKernel >
- IsOutputLayer : LayerTraits< LayerType >
- IsSupported : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
- IsTerminal() : Acrobot, CartPole, ContinuousActionEnv, ContinuousDoublePoleCart, ContinuousMountainCar, DiscreteActionEnv, DoublePoleCart, MountainCar, Pendulum, RewardClipping< EnvironmentType >
- IsTokenEmpty() : CharExtract, SplitByAnyOf
- IsTrained() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
- ItemMax() : MaxAbsScaler, MeanNormalization, MinMaxScaler
- ItemMean() : MeanNormalization, PCAWhitening, StandardScaler, ZCAWhitening
- ItemMeanNormalization() : ItemMeanNormalization
- ItemMin() : MaxAbsScaler, MeanNormalization, MinMaxScaler
- ItemStdDev() : StandardScaler
- Iterate() : DualTreeKMeans< MetricType, MatType, TreeType >, ElkanKMeans< MetricType, MatType >, HamerlyKMeans< MetricType, MatType >, NaiveKMeans< MetricType, MatType >, PellegMooreKMeans< MetricType, MatType >
- IteratedPower() : RandomizedSVDPolicy, RandomizedSVD
- Iteration() : CompleteIncrementalTermination< TerminationPolicy >, IncompleteIncrementalTermination< TerminationPolicy >, MaxIterationTermination, SimpleResidueTermination
- iteration : SimpleResidueTermination
- Iteration() : SimpleToleranceTermination< MatType >, ValidationRMSETermination< MatType >