- i -

• ignoreInput : mlpack::util::PrefixedOutStream
• ignoreSet : mlpack::regression::LARS
• incrementalIndex : mlpack::amf::CompleteIncrementalTermination< TerminationPolicy > , mlpack::amf::IncompleteIncrementalTermination< TerminationPolicy >
• index : mlpack::ann::Select< InputDataType, OutputDataType >
• indices : mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::matrix_completion::MatrixCompletion , mlpack::tree::CosineTree
• indicesCol : mlpack::ann::MaxPooling< InputDataType, OutputDataType >
• Info : mlpack::Log
• infoBinaryTree : mlpack::tree::HoeffdingTreeModel
• infoHoeffdingTree : mlpack::tree::HoeffdingTreeModel
• initial : mlpack::hmm::HMM< Distribution >
• initialInput : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• initializationRule : mlpack::amf::AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• initializeRule : mlpack::ann::FFN< OutputLayerType, InitializationRuleType > , mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• initialModule : mlpack::ann::Recurrent< InputDataType, OutputDataType > , mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• initialPoint : mlpack::nn::SparseAutoencoderFunction , mlpack::optimization::AugLagrangianTestFunction , mlpack::optimization::GockenbachFunction , mlpack::optimization::LovaszThetaSDP , mlpack::optimization::LRSDPFunction< SDPType > , mlpack::optimization::test::GeneralizedRosenbrockFunction , mlpack::optimization::test::RosenbrockFunction , mlpack::optimization::test::RosenbrockWoodFunction , mlpack::optimization::test::WoodFunction , mlpack::regression::LogisticRegressionFunction< MatType > , mlpack::regression::SoftmaxRegressionFunction , mlpack::svd::RegularizedSVDFunction
• initialX : mlpack::optimization::PrimalDualSolver< SDPType >
• initialYdense : mlpack::optimization::PrimalDualSolver< SDPType >
• initialYsparse : mlpack::optimization::PrimalDualSolver< SDPType >
• initialZ : mlpack::optimization::PrimalDualSolver< SDPType >
• initMoves : mlpack::optimization::SA< FunctionType, CoolingScheduleType >
• input : mlpack::ann::BackwardVisitor , mlpack::ann::ForwardVisitor , mlpack::ann::GradientVisitor , mlpack::util::ParamData
• input2GateModule : mlpack::ann::LSTM< InputDataType, OutputDataType >
• inputDepth : mlpack::ann::Glimpse< InputDataType, OutputDataType >
• inputGateModule : mlpack::ann::LSTM< InputDataType, OutputDataType >
• inputHeight : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType > , mlpack::ann::SetInputHeightVisitor
• inputModule : mlpack::ann::Recurrent< InputDataType, OutputDataType >
• inputPaddedTemp : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, 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::FFN< OutputLayerType, InitializationRuleType > , 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 >
• inputSize : mlpack::ann::RNN< OutputLayerType, InitializationRuleType >
• inputTemp : mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< 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 > , mlpack::ann::SetInputWidthVisitor
• inSize : mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , mlpack::ann::Constant< InputDataType, OutputDataType > , mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , mlpack::ann::Glimpse< InputDataType, OutputDataType > , mlpack::ann::Linear< InputDataType, OutputDataType > , mlpack::ann::LinearNoBias< InputDataType, OutputDataType > , mlpack::ann::Lookup< InputDataType, OutputDataType > , mlpack::ann::LSTM< InputDataType, OutputDataType > , mlpack::ann::MaxPooling< InputDataType, OutputDataType > , mlpack::ann::MeanPooling< InputDataType, OutputDataType >
• inSizeCols : mlpack::ann::Join< InputDataType, OutputDataType >
• inSizeRows : mlpack::ann::Join< InputDataType, OutputDataType >
• intercept : mlpack::regression::LinearRegression
• interclusterDistances : mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType >
• intermediateGradient : mlpack::ann::RecurrentAttention< InputDataType, OutputDataType >
• invCov : mlpack::distribution::GaussianDistribution
• inverseBandwidthSquared : mlpack::kernel::EpanechnikovKernel
• isAccurate : mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType >
• isActive : mlpack::regression::LARS
• IsBiasLayer : mlpack::ann::LayerTraits< LayerType >
• IsBinary : mlpack::ann::LayerTraits< LayerType >
• IsConnection : mlpack::ann::LayerTraits< LayerType >
• isCopy : mlpack::amf::SimpleToleranceTermination< MatType > , mlpack::amf::ValidationRMSETermination< MatType >
• isFlag : mlpack::util::ParamData
• isIgnored : mlpack::regression::LARS
• IsLSTMLayer : mlpack::ann::LayerTraits< LayerType >
• isMappedString : mlpack::util::ParamData
• IsNormalized : mlpack::kernel::KernelTraits< KernelType > , mlpack::kernel::KernelTraits< CosineDistance > , mlpack::kernel::KernelTraits< EpanechnikovKernel > , mlpack::kernel::KernelTraits< GaussianKernel > , mlpack::kernel::KernelTraits< LaplacianKernel > , mlpack::kernel::KernelTraits< SphericalKernel > , mlpack::kernel::KernelTraits< TriangularKernel >
• IsOutputLayer : mlpack::ann::LayerTraits< LayerType >
• isStart : mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >
• it : mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >
• 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 > , mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType > , mlpack::kmeans::MaxVarianceNewCluster
• iterations : mlpack::svd::RegularizedSVD< OptimizerType >