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• Ignore() : mlpack::regression::LARS
• Impute() : mlpack::data::CustomImputation< T > , mlpack::data::Imputer< T, MapperType, StrategyType > , mlpack::data::ListwiseDeletion< T > , mlpack::data::MeanImputation< T > , mlpack::data::MedianImputation< T >
• Imputer() : mlpack::data::Imputer< T, MapperType, StrategyType >
• IncompleteIncrementalTermination() : mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy >
• Index() : mlpack::amf::CompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::MaxIterationTermination , mlpack::amf::SimpleResidueTermination , mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >
• Initial() : mlpack::hmm::HMM< Distribution >
• InitialClustering() : mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy >
• Initialize() : mlpack::amf::AverageInitialization , mlpack::amf::CompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::GivenInitialization , mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::MaxIterationTermination , mlpack::amf::NMFALSUpdate , mlpack::amf::NMFMultiplicativeDistanceUpdate , mlpack::amf::NMFMultiplicativeDivergenceUpdate , mlpack::amf::RandomAcolInitialization< columnsToAverage > , mlpack::amf::RandomInitialization , mlpack::amf::SimpleResidueTermination , mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::SVDBatchLearning , mlpack::amf::SVDCompleteIncrementalLearning< MatType > , mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat > , mlpack::amf::SVDIncompleteIncrementalLearning , mlpack::amf::ValidationRMSETermination< MatType > , mlpack::ann::KathirvalavakumarSubavathiInitialization , mlpack::ann::NguyenWidrowInitialization , mlpack::ann::OivsInitialization< ActivationFunction > , mlpack::ann::OrthogonalInitialization , mlpack::ann::RandomInitialization , mlpack::ann::ZeroInitialization , mlpack::perceptron::RandomInitialization , mlpack::perceptron::ZeroInitialization , mlpack::sparse_coding::DataDependentRandomInitializer , mlpack::sparse_coding::NothingInitializer , mlpack::sparse_coding::RandomInitializer
• InitializeRule() : mlpack::amf::AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• InitializeWeights() : mlpack::nn::SparseAutoencoderFunction , mlpack::regression::SoftmaxRegressionFunction
• InitialPoint() : mlpack::regression::LogisticRegressionFunction< MatType >
• InitMoves() : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• InitSDP() : mlpack::matrix_completion::MatrixCompletion
• InnerRadius() : mlpack::bound::HollowBallBound< TMetricType, ElemType >
• InputHeight() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• InputParameter() : mlpack::ann::Add< InputDataType, OutputDataType > , mlpack::ann::AddMerge< InputDataType, OutputDataType > , mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType > , mlpack::ann::Concat< InputDataType, OutputDataType > , mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , mlpack::ann::Constant< InputDataType, OutputDataType > , mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::DropConnect< InputDataType, OutputDataType > , mlpack::ann::Dropout< InputDataType, OutputDataType > , mlpack::ann::ELU< InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::HardTanH< InputDataType, OutputDataType > , mlpack::ann::Join< InputDataType, OutputDataType > , mlpack::ann::LeakyReLU< InputDataType, OutputDataType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::LogSoftMax< InputDataType, OutputDataType > , mlpack::ann::Lookup< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::MeanSquaredError< InputDataType, OutputDataType > , mlpack::ann::MultiplyConstant< InputDataType, OutputDataType > , mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType > , mlpack::ann::PReLU< InputDataType, OutputDataType > , mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType > , mlpack::ann::ReinforceNormal< InputDataType, OutputDataType > , mlpack::ann::Select< InputDataType, OutputDataType > , mlpack::ann::Sequential< InputDataType, OutputDataType > , mlpack::ann::VRClassReward< InputDataType, OutputDataType >
• InputWidth() : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• InsertNeighbor() : mlpack::fastmks::FastMKSRules< KernelType, TreeType > , mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType > , mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType >
• InsertNode() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• InsertNodeIntoTree() : mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType > , mlpack::tree::RStarTreeSplit , mlpack::tree::RTreeSplit , mlpack::tree::XTreeSplit
• InsertPoint() : mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Intercept() : mlpack::regression::LinearRegression
• IntermediateGradient() : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• InterpolateBeta() : mlpack::regression::LARS
• inv() : mlpack::ann::LogisticFunction , mlpack::ann::SoftplusFunction , mlpack::ann::SoftsignFunction , mlpack::ann::TanhFunction
• IPMetric() : mlpack::metric::IPMetric< KernelType >
• IsBetter() : mlpack::neighbor::FurthestNeighborSort , mlpack::neighbor::NearestNeighborSort
• IsConverged() : mlpack::amf::CompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::MaxIterationTermination , mlpack::amf::SimpleResidueTermination , mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >
• IsDistinct() : mlpack::decision_stump::DecisionStump< MatType >
• IsLeaf() : mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , mlpack::tree::Octree< MetricType, StatisticType, MatType > , mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• IsPerfectSquare() : mlpack::math::ColumnsToBlocks
• Iterate() : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::ElkanKMeans< MetricType, MatType > , mlpack::kmeans::HamerlyKMeans< MetricType, MatType > , mlpack::kmeans::NaiveKMeans< MetricType, MatType > , mlpack::kmeans::PellegMooreKMeans< MetricType, MatType >
• IteratedPower() : mlpack::pca::RandomizedSVDPolicy , mlpack::svd::RandomizedSVD
• Iteration() : mlpack::amf::CompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::MaxIterationTermination , mlpack::amf::SimpleResidueTermination , mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >