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• Impute() : CustomImputation< T > , ListwiseDeletion< T > , MedianImputation< T > , Imputer< T, MapperType, StrategyType > , MeanImputation< T >
• 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() : BarzilaiBorweinDecay , NetworkInitialization< InitializationRuleType, CustomLayers > , NguyenWidrowInitialization , SVRGUpdate , NguyenWidrowInitialization , OivsInitialization< ActivationFunction > , AverageInitialization , OivsInitialization< ActivationFunction > , OrthogonalInitialization , GivenInitialization , OrthogonalInitialization , RandomInitialization , AdaDeltaUpdate , RandomAcolInitialization< columnsToAverage > , RandomInitialization , ZeroInitialization , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , AdaGradUpdate , CompleteIncrementalTermination< TerminationPolicy > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , CompleteIncrementalTermination< TerminationPolicy > , DataDependentRandomInitializer , NothingInitializer , AdamUpdate , IncompleteIncrementalTermination< TerminationPolicy > , RandomInitializer , GlorotInitializationType< Uniform > , MaxIterationTermination , GlorotInitializationType< Uniform > , AdaMaxUpdate , SimpleResidueTermination , SimpleToleranceTermination< MatType > , AMSGradUpdate , ValidationRMSETermination< MatType > , NMFALSUpdate , NadamUpdate , NMFMultiplicativeDistanceUpdate , NMFMultiplicativeDivergenceUpdate , NadaMaxUpdate , SVDBatchLearning , SVDCompleteIncrementalLearning< MatType > , OptimisticAdamUpdate , SVDCompleteIncrementalLearning< arma::sp_mat > , SVDIncompleteIncrementalLearning , RMSPropUpdate , ConstInitialization , GradientClipping< UpdatePolicyType > , GaussianInitialization , NesterovMomentumUpdate , GlorotInitializationType< Uniform > , VanillaUpdate , HeInitialization , SMORMS3Update , KathirvalavakumarSubavathiInitialization , SPALeRAStepsize , LecunNormalInitialization
• 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 >
• 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() : MeanPooling< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BaseLayer< ActivationFunction, 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 > , FastLSTM< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Add< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , Join< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , MultiplyConstant< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType >
• InputWidth() : AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< 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() : SoftsignFunction , TanhFunction , SoftsignFunction , LogisticFunction , SoftplusFunction , LogisticFunction
• IPMetric() : IPMetric< KernelType >
• IQN() : IQN
• IsBetter() : NearestNeighborSort , FurthestNeighborSort
• IsConverged() : SimpleResidueTermination , ValidationRMSETermination< MatType > , MaxIterationTermination , IncompleteIncrementalTermination< TerminationPolicy > , CompleteIncrementalTermination< TerminationPolicy > , SimpleToleranceTermination< MatType >
• IsLeaf() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , Octree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• IsTerminal() : ContinuousMountainCar , MountainCar , Acrobat , CartPole
• Iterate() : NaiveKMeans< MetricType, MatType > , PellegMooreKMeans< MetricType, MatType > , ElkanKMeans< MetricType, MatType > , HamerlyKMeans< MetricType, MatType > , DualTreeKMeans< MetricType, MatType, TreeType >
• IteratedPower() : RandomizedSVDPolicy , RandomizedSVD , RandomizedSVDPolicy , RandomizedSVD
• Iteration() : ValidationRMSETermination< MatType > , CompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , IncompleteIncrementalTermination< TerminationPolicy > , SimpleToleranceTermination< MatType > , MaxIterationTermination