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