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

- i -

• ignoreInput : PrefixedOutStream
• Impute() : CustomImputation< T > , MeanImputation< T > , MedianImputation< T > , ListwiseDeletion< T > , Imputer< T, MapperType, StrategyType >
• Imputer() : Imputer< T, MapperType, StrategyType >
• IncompleteIncrementalTermination() : IncompleteIncrementalTermination< TerminationPolicy >
• IncrementPolicy() : IncrementPolicy
• Index() : SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType >
• index : FixedArg< T, I >
• Index() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination
• Info : Log
• INFO_BINARY : HoeffdingTreeModel
• INFO_HOEFFDING : HoeffdingTreeModel
• InfoBinaryTreeType : HoeffdingTreeModel
• InfoHoeffdingTreeType : HoeffdingTreeModel
• Initial() : HMM< Distribution >
• Initialize() : OptimisticAdamUpdate , GlorotInitializationType< Uniform > , HeInitialization , RMSPropUpdate , HeInitialization , KathirvalavakumarSubavathiInitialization , GradientClipping< UpdatePolicyType > , KathirvalavakumarSubavathiInitialization , LecunNormalInitialization , NesterovMomentumUpdate , LecunNormalInitialization , NetworkInitialization< InitializationRuleType, CustomLayers > , VanillaUpdate , NguyenWidrowInitialization , SMORMS3Update , OivsInitialization< ActivationFunction > , SPALeRAStepsize , OrthogonalInitialization , BarzilaiBorweinDecay , RandomInitialization , SVRGUpdate , RandomInitialization , ZeroInitialization , AverageInitialization , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , GivenInitialization , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , DataDependentRandomInitializer , RandomAcolInitialization< columnsToAverage > , NothingInitializer , RandomInitializer , RandomInitialization , GlorotInitializationType< Uniform > , CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , AdaDeltaUpdate , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , AdaGradUpdate , NMFALSUpdate , NMFMultiplicativeDistanceUpdate , AdamUpdate , NMFMultiplicativeDivergenceUpdate , SVDBatchLearning , AdaMaxUpdate , SVDCompleteIncrementalLearning< MatType > , SVDCompleteIncrementalLearning< arma::sp_mat > , AMSGradUpdate , SVDIncompleteIncrementalLearning , ConstInitialization , NadamUpdate , ConstInitialization , GaussianInitialization , NadaMaxUpdate , GaussianInitialization , GlorotInitializationType< Uniform >
• InitializeRule() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• InitializeWeights() : SoftmaxRegressionFunction , SparseAutoencoderFunction
• InitialPoint() : LogisticRegressionFunction< MatType > , SparseSVMFunction
• InitialSample() : Acrobat , CartPole , ContinuousMountainCar , MountainCar , Pendulum
• InitMoves() : SA< CoolingScheduleType >
• InitValue() : ConstInitialization
• initValue() : ConstInitialization
• InnerIterations() : KatyushaType< Proximal > , SARAHType< UpdatePolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType >
• InnerRadius() : HollowBallBound< TMetricType, ElemType >
• input : ParamData
• InputElemType : FastLSTM< InputDataType, OutputDataType >
• InputHeight() : MeanPooling< InputDataType, OutputDataType > , 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 >
• InputParameter() : Add< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , LSTM< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , MeanPooling< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType >
• InputWidth() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MaxPooling< 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() : SoftplusFunction , TanhFunction , SoftsignFunction , LogisticFunction , SoftsignFunction , LogisticFunction , TanhFunction
• IPMetric() : IPMetric< KernelType >
• IQN() : IQN
• IsBetter() : FurthestNeighborSort , NearestNeighborSort
• IsBiasLayer : LayerTraits< LayerType >
• IsBinary : LayerTraits< LayerType >
• IsConnection : LayerTraits< LayerType >
• IsConverged() : SimpleToleranceTermination< MatType > , SimpleResidueTermination , IncompleteIncrementalTermination< TerminationPolicy > , CompleteIncrementalTermination< TerminationPolicy > , ValidationRMSETermination< MatType > , MaxIterationTermination
• IsLeaf() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• IsLSTMLayer : LayerTraits< LayerType >
• IsNormalized : KernelTraits< EpanechnikovKernel > , KernelTraits< GaussianKernel > , KernelTraits< LaplacianKernel > , KernelTraits< CosineDistance > , KernelTraits< TriangularKernel > , KernelTraits< KernelType > , KernelTraits< SphericalKernel >
• IsOutputLayer : LayerTraits< LayerType >
• IsSupported : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• IsTerminal() : CartPole , ContinuousMountainCar , MountainCar , Acrobat
• Iterate() : HamerlyKMeans< MetricType, MatType > , ElkanKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , NaiveKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType >
• IteratedPower() : RandomizedSVD , RandomizedSVDPolicy
• Iteration() : IncompleteIncrementalTermination< TerminationPolicy > , ValidationRMSETermination< MatType > , SimpleToleranceTermination< MatType >
• iteration : SimpleResidueTermination
• Iteration() : CompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination