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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 >
• IncludeKL() : Reparametrization< InputDataType, OutputDataType >
• InColSize() : BilinearInterpolation< InputDataType, OutputDataType >
• IncompleteIncrementalTermination() : IncompleteIncrementalTermination< TerminationPolicy >
• IncrementPolicy() : IncrementPolicy
• InDepth() : BilinearInterpolation< InputDataType, OutputDataType >
• Index() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , Select< InputDataType, OutputDataType >
• Initial() : HMM< Distribution >
• Initialize() : AverageInitialization , HeInitialization , GivenInitialization , HeInitialization , KathirvalavakumarSubavathiInitialization , MergeInitialization< WInitializationRuleType, HInitializationRuleType > , KathirvalavakumarSubavathiInitialization , RandomAcolInitialization< columnsToAverage > , KathirvalavakumarSubavathiInitialization , LecunNormalInitialization , RandomInitialization , LecunNormalInitialization , CompleteIncrementalTermination< TerminationPolicy > , LecunNormalInitialization , NetworkInitialization< InitializationRuleType, CustomLayers > , CompleteIncrementalTermination< TerminationPolicy > , NguyenWidrowInitialization , IncompleteIncrementalTermination< TerminationPolicy > , NguyenWidrowInitialization , MaxIterationTermination , OivsInitialization< ActivationFunction > , SimpleResidueTermination , OivsInitialization< ActivationFunction > , SimpleToleranceTermination< MatType > , OrthogonalInitialization , ValidationRMSETermination< MatType > , OrthogonalInitialization , NMFALSUpdate , RandomInitialization , NMFMultiplicativeDistanceUpdate , RandomInitialization , NMFMultiplicativeDivergenceUpdate , RandomInitialization , ZeroInitialization , SVDBatchLearning , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , SVDCompleteIncrementalLearning< MatType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , DataDependentRandomInitializer , SVDCompleteIncrementalLearning< arma::sp_mat > , NothingInitializer , RandomInitializer , SVDIncompleteIncrementalLearning , GlorotInitializationType< Uniform > , ConstInitialization , GlorotInitializationType< Uniform > , ConstInitialization , GaussianInitialization , GlorotInitializationType< Uniform > , HeInitialization
• InitializeOne() : AverageInitialization , GivenInitialization , RandomInitialization
• InitializeRule() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• InitializeWeights() : LinearSVMFunction< MatType > , SoftmaxRegressionFunction , SparseAutoencoderFunction
• InitialPoint() : LinearSVMFunction< MatType >
• InitialSample() : Acrobot , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar , DoublePoleCart , DiscreteActionEnv , ContinuousActionEnv , MountainCar , Pendulum , RewardClipping< EnvironmentType >
• InitMatrix() : DictionaryEncodingPolicy , TfIdfEncodingPolicy , BagOfWordsEncodingPolicy
• InitValue() : ConstInitialization
• initValue() : ConstInitialization
• InnerRadius() : HollowBallBound< TMetricType, ElemType >
• 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() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , Linear< InputDataType, OutputDataType, RegularizerType > , 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() : AdaptiveMeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , MeanPooling< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType >
• InputWidth() : AdaptiveMaxPooling< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< 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() : Subview< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , LayerNorm< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType >
• Intercept() : LinearRegression
• Inv() : SoftplusFunction , LogisticFunction , SoftplusFunction , SoftsignFunction , TanhFunction , LogisticFunction , TanhFunction
• InvCov() : GaussianDistribution
• InverseTransform() : MeanNormalization , ZCAWhitening , PCAWhitening , ScalingModel , MaxAbsScaler , MinMaxScaler , StandardScaler
• IoU() : IoU< UseCoordinates >
• IPMetric() : IPMetric< KernelType >
• IsBetter() : NearestNS , FurthestNS
• IsCategorical() : TrainingConfig
• IsConverged() : SimpleToleranceTermination< MatType > , MaxIterationTermination , SimpleResidueTermination , IncompleteIncrementalTermination< TerminationPolicy > , ValidationRMSETermination< MatType > , CompleteIncrementalTermination< TerminationPolicy >
• IsLeaf() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , Octree< MetricType, StatisticType, MatType >
• IsTerminal() : CartPole , DoublePoleCart , MountainCar , ContinuousActionEnv , Acrobot , ContinuousDoublePoleCart , RewardClipping< EnvironmentType > , ContinuousMountainCar , DiscreteActionEnv , Pendulum
• IsTokenEmpty() : CharExtract , SplitByAnyOf
• IsTrained() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• ItemMax() : MinMaxScaler , MeanNormalization , MaxAbsScaler
• ItemMean() : MeanNormalization , PCAWhitening , ZCAWhitening , StandardScaler
• ItemMeanNormalization() : ItemMeanNormalization
• ItemMin() : MeanNormalization , MaxAbsScaler , MinMaxScaler
• ItemStdDev() : StandardScaler
• Iterate() : NaiveKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType > , ElkanKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType >
• IteratedPower() : RandomizedSVDPolicy , RandomizedSVD , RandomizedSVDPolicy
• Iteration() : MaxIterationTermination , SimpleResidueTermination , MaxIterationTermination , SimpleToleranceTermination< MatType > , CompleteIncrementalTermination< TerminationPolicy > , ValidationRMSETermination< MatType > , IncompleteIncrementalTermination< TerminationPolicy >