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 > , ListwiseDeletion< T > , MeanImputation< T > , MedianImputation< T > , Imputer< T, MapperType, StrategyType >
• Imputer() : Imputer< T, MapperType, StrategyType >
• IncludeKL() : Reparametrization< InputDataType, OutputDataType >
• InColSize() : BilinearInterpolation< InputDataType, OutputDataType >
• IncompleteIncrementalTermination() : IncompleteIncrementalTermination< TerminationPolicy >
• IncrementPolicy() : IncrementPolicy
• InDepth() : BilinearInterpolation< InputDataType, OutputDataType >
• index : FixedArg< T, I >
• Index() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , Select< InputDataType, OutputDataType >
• Info : Log
• INFO_BINARY : HoeffdingTreeModel
• INFO_HOEFFDING : HoeffdingTreeModel
• InfoBinaryTreeType : HoeffdingTreeModel
• InfoHoeffdingTreeType : HoeffdingTreeModel
• Initial() : HMM< Distribution >
• Initialize() : GaussianInitialization , GlorotInitializationType< Uniform > , HeInitialization , KathirvalavakumarSubavathiInitialization , AverageInitialization , LecunNormalInitialization , GivenInitialization , LecunNormalInitialization , MergeInitialization< WInitializationRuleType, HInitializationRuleType > , NetworkInitialization< InitializationRuleType, CustomLayers > , NguyenWidrowInitialization , RandomAcolInitialization< columnsToAverage > , NguyenWidrowInitialization , RandomInitialization , NguyenWidrowInitialization , OivsInitialization< ActivationFunction > , CompleteIncrementalTermination< TerminationPolicy > , OivsInitialization< ActivationFunction > , CompleteIncrementalTermination< TerminationPolicy > , OivsInitialization< ActivationFunction > , OrthogonalInitialization , IncompleteIncrementalTermination< TerminationPolicy > , OrthogonalInitialization , MaxIterationTermination , OrthogonalInitialization , RandomInitialization , SimpleResidueTermination , RandomInitialization , SimpleToleranceTermination< MatType > , RandomInitialization , ValidationRMSETermination< MatType > , ZeroInitialization , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , NMFALSUpdate , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , NMFMultiplicativeDistanceUpdate , DataDependentRandomInitializer , NothingInitializer , NMFMultiplicativeDivergenceUpdate , RandomInitializer , GlorotInitializationType< Uniform > , SVDBatchLearning , GlorotInitializationType< Uniform > , SVDCompleteIncrementalLearning< MatType > , GlorotInitializationType< Uniform > , SVDCompleteIncrementalLearning< arma::sp_mat > , SVDIncompleteIncrementalLearning , ConstInitialization , GaussianInitialization
• InitializeOne() : AverageInitialization , GivenInitialization , RandomInitialization
• InitializeRule() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• InitializeWeights() : LinearSVMFunction< MatType > , SoftmaxRegressionFunction , SparseAutoencoderFunction
• InitialPoint() : LinearSVMFunction< MatType >
• InitialSample() : DiscreteActionEnv , ContinuousActionEnv , MountainCar , Pendulum , RewardClipping< EnvironmentType > , Acrobot , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar , DoublePoleCart
• 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() : PoissonNLLLoss< InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , MiniBatchDiscrimination< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , Linear< InputDataType, OutputDataType, RegularizerType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , PositionalEncoding< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , PoissonNLLLoss< InputDataType, OutputDataType >
• InputSize() : Linear3D< InputDataType, OutputDataType, RegularizerType > , AdaptiveMaxPooling< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NoisyLinear< 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 > , MeanPooling< InputDataType, OutputDataType > , Glimpse< 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() : LayerNorm< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType >
• Intercept() : LinearRegression
• Inv() : TanhFunction , LogisticFunction , TanhFunction , SoftplusFunction , SoftsignFunction , SoftplusFunction , SoftsignFunction
• InvCov() : GaussianDistribution
• InverseTransform() : PCAWhitening , ScalingModel , ZCAWhitening , StandardScaler , MeanNormalization , MaxAbsScaler , MinMaxScaler
• IoU() : IoU< UseCoordinates >
• IPMetric() : IPMetric< KernelType >
• IsBetter() : NearestNS , FurthestNS
• IsBiasLayer : LayerTraits< LayerType >
• IsBinary : LayerTraits< LayerType >
• IsCategorical() : TrainingConfig
• IsConnection : LayerTraits< LayerType >
• IsConverged() : IncompleteIncrementalTermination< TerminationPolicy > , SimpleResidueTermination , MaxIterationTermination , CompleteIncrementalTermination< TerminationPolicy > , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType >
• isEnd : RandomReplay< EnvironmentType >::Transition , PrioritizedReplay< EnvironmentType >::Transition
• IsLeaf() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• IsLSTMLayer : LayerTraits< LayerType >
• IsNormalized : KernelTraits< GaussianKernel > , KernelTraits< SphericalKernel > , KernelTraits< TriangularKernel > , KernelTraits< KernelType > , KernelTraits< EpanechnikovKernel > , KernelTraits< CosineDistance > , KernelTraits< LaplacianKernel > , KernelTraits< CauchyKernel >
• IsOutputLayer : LayerTraits< LayerType >
• IsSupported : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• IsTerminal() : CartPole , DoublePoleCart , MountainCar , DiscreteActionEnv , ContinuousActionEnv , RewardClipping< EnvironmentType > , Pendulum , ContinuousMountainCar , ContinuousDoublePoleCart , Acrobot
• IsTokenEmpty() : CharExtract , SplitByAnyOf
• IsTrained() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• ItemMax() : MaxAbsScaler , MeanNormalization , MinMaxScaler
• ItemMean() : StandardScaler , MeanNormalization , PCAWhitening , ZCAWhitening
• ItemMeanNormalization() : ItemMeanNormalization
• ItemMin() : MaxAbsScaler , MinMaxScaler , MeanNormalization
• ItemStdDev() : StandardScaler
• Iterate() : ElkanKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , NaiveKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType > , PellegMooreKMeans< MetricType, MatType >
• IteratedPower() : RandomizedSVDPolicy , RandomizedSVD , RandomizedSVDPolicy
• iteration : SimpleResidueTermination
• Iteration() : IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , CompleteIncrementalTermination< TerminationPolicy > , SimpleResidueTermination , SimpleToleranceTermination< MatType > , MaxIterationTermination , ValidationRMSETermination< MatType >