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• 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() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType >
• Initial() : HMM< Distribution >
• Initialize() : CompleteIncrementalTermination< TerminationPolicy > , RandomInitialization , IncompleteIncrementalTermination< TerminationPolicy > , RandomInitialization , ZeroInitialization , MaxIterationTermination , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , SimpleResidueTermination , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , DataDependentRandomInitializer , SimpleToleranceTermination< MatType > , NothingInitializer , RandomInitializer , ValidationRMSETermination< MatType > , GlorotInitializationType< Uniform > , NMFALSUpdate , NMFMultiplicativeDistanceUpdate , NMFMultiplicativeDivergenceUpdate , SVDBatchLearning , SVDCompleteIncrementalLearning< MatType > , SVDCompleteIncrementalLearning< arma::sp_mat > , SVDIncompleteIncrementalLearning , ConstInitialization , GaussianInitialization , GlorotInitializationType< Uniform > , HeInitialization , AverageInitialization , HeInitialization , KathirvalavakumarSubavathiInitialization , GivenInitialization , KathirvalavakumarSubavathiInitialization , LecunNormalInitialization , MergeInitialization< WInitializationRuleType, HInitializationRuleType > , LecunNormalInitialization , NetworkInitialization< InitializationRuleType, CustomLayers > , RandomAcolInitialization< columnsToAverage > , NguyenWidrowInitialization , RandomInitialization , OivsInitialization< ActivationFunction > , CompleteIncrementalTermination< TerminationPolicy > , OrthogonalInitialization
• 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 >
• InitMatrix() : BagOfWordsEncodingPolicy , DictionaryEncodingPolicy , TfIdfEncodingPolicy
• InitValue() : ConstInitialization
• initValue() : ConstInitialization
• InnerRadius() : HollowBallBound< TMetricType, ElemType >
• InputHeight() : 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() : 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 > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers >
• InputSize() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType >
• 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 > , MaxPooling< InputDataType, OutputDataType > , Convolution< 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() : SoftplusFunction , LogisticFunction , SoftplusFunction , SoftsignFunction , TanhFunction , LogisticFunction , SoftsignFunction
• InvCov() : GaussianDistribution
• InverseTransform() : MaxAbsScaler , MeanNormalization , StandardScaler , MinMaxScaler , PCAWhitening , ScalingModel , ZCAWhitening
• IPMetric() : IPMetric< KernelType >
• IsBetter() : FurthestNS , NearestNS
• IsConverged() : CompleteIncrementalTermination< TerminationPolicy > , SimpleResidueTermination , SimpleToleranceTermination< MatType > , MaxIterationTermination , ValidationRMSETermination< MatType > , IncompleteIncrementalTermination< TerminationPolicy >
• IsLeaf() : Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• IsTerminal() : Pendulum , RewardClipping< EnvironmentType > , ContinuousDoublePoleCart , MountainCar , CartPole , Acrobot , ContinuousMountainCar , DoublePoleCart
• IsTokenEmpty() : CharExtract , SplitByAnyOf
• IsTrained() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• ItemMax() : MeanNormalization , MinMaxScaler , MaxAbsScaler
• ItemMean() : MeanNormalization , ZCAWhitening , PCAWhitening , StandardScaler
• ItemMeanNormalization() : ItemMeanNormalization
• ItemMin() : MinMaxScaler , MaxAbsScaler , MeanNormalization
• ItemStdDev() : StandardScaler
• Iterate() : NaiveKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType > , PellegMooreKMeans< MetricType, MatType > , ElkanKMeans< MetricType, MatType >
• IteratedPower() : RandomizedSVDPolicy , RandomizedSVD
• Iteration() : ValidationRMSETermination< MatType > , CompleteIncrementalTermination< TerminationPolicy > , SimpleToleranceTermination< MatType > , MaxIterationTermination , SimpleResidueTermination , IncompleteIncrementalTermination< TerminationPolicy >