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• 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() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType >
• Initial() : HMM< Distribution >
• Initialize() : MaxIterationTermination , RandomInitialization , ZeroInitialization , SimpleResidueTermination , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , SimpleToleranceTermination< MatType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , DataDependentRandomInitializer , ValidationRMSETermination< MatType > , NothingInitializer , RandomInitializer , NMFALSUpdate , GlorotInitializationType< Uniform > , NMFMultiplicativeDistanceUpdate , NMFMultiplicativeDivergenceUpdate , SVDBatchLearning , SVDCompleteIncrementalLearning< MatType > , SVDCompleteIncrementalLearning< arma::sp_mat > , SVDIncompleteIncrementalLearning , ConstInitialization , GaussianInitialization , GlorotInitializationType< Uniform > , HeInitialization , AverageInitialization , HeInitialization , KathirvalavakumarSubavathiInitialization , GivenInitialization , KathirvalavakumarSubavathiInitialization , LecunNormalInitialization , RandomAcolInitialization< columnsToAverage > , LecunNormalInitialization , NetworkInitialization< InitializationRuleType, CustomLayers > , RandomInitialization , NguyenWidrowInitialization , CompleteIncrementalTermination< TerminationPolicy > , OivsInitialization< ActivationFunction > , CompleteIncrementalTermination< TerminationPolicy > , OrthogonalInitialization , IncompleteIncrementalTermination< TerminationPolicy > , RandomInitialization
• InitializeRule() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• InitializeWeights() : LinearSVMFunction< MatType > , SoftmaxRegressionFunction , SparseAutoencoderFunction
• InitialPoint() : LinearSVMFunction< MatType > , LogisticRegressionFunction< MatType >
• InitialSample() : Acrobot , CartPole , ContinuousMountainCar , MountainCar , Pendulum , RewardClipping< EnvironmentType >
• InitValue() : ConstInitialization
• initValue() : ConstInitialization
• InnerRadius() : HollowBallBound< TMetricType, ElemType >
• InputHeight() : MeanPooling< 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() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType >
• InputWidth() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, 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() : TanhFunction , LogisticFunction , SoftsignFunction , TanhFunction , SoftplusFunction
• IPMetric() : IPMetric< KernelType >
• IsBetter() : NearestNS , FurthestNS
• IsConverged() : CompleteIncrementalTermination< TerminationPolicy > , SimpleResidueTermination , ValidationRMSETermination< MatType > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleToleranceTermination< MatType >
• IsLeaf() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• IsTerminal() : Acrobot , RewardClipping< EnvironmentType > , ContinuousMountainCar , MountainCar , CartPole
• IsTrained() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• ItemMeanNormalization() : ItemMeanNormalization
• Iterate() : DualTreeKMeans< MetricType, MatType, TreeType > , NaiveKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , ElkanKMeans< MetricType, MatType >
• IteratedPower() : RandomizedSVDPolicy , RandomizedSVD , RandomizedSVDPolicy , RandomizedSVD , RandomizedSVDPolicy
• Iteration() : SimpleResidueTermination , ValidationRMSETermination< MatType > , SimpleToleranceTermination< MatType > , CompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , IncompleteIncrementalTermination< TerminationPolicy >