- b -
- Base
: shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
- batch_range
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- batch_reference
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- BatchInputType
: shark::AbstractClustering< InputT >
, shark::AbstractKernelFunction< InputTypeT >
, shark::AbstractMetric< InputTypeT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::AbstractNearestNeighbors< InputType, LabelType >
, shark::ARDKernelUnconstrained< InputType >
, shark::ArgMaxConverter< Model >
, shark::CARTClassifier< LabelType >
, shark::ClusteringModel< InputT, OutputT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::GaussianRbfKernel< InputType >
, shark::HardClusteringModel< InputT >
, shark::HierarchicalClustering< InputT >
, shark::KernelExpansion< InputType >
, shark::LinearKernel< InputType >
, shark::LinearModel< InputType >
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::ModelKernel< InputType >
, shark::MonomialKernel< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::NormalizedKernel< InputType >
, shark::Normalizer< DataType >
, shark::OneVersusOneClassifier< InputType >
, shark::PolynomialKernel< InputType >
, shark::ProductKernel< InputType >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::ScaledKernel< InputType >
, shark::SimpleNearestNeighbors< InputType, LabelType >
, shark::SoftNearestNeighborClassifier< InputType >
, shark::TreeNearestNeighbors< InputType, LabelType >
, shark::WeightedSumKernel< InputType >
- BatchLabelType
: shark::AbsoluteLoss< VectorType >
, shark::AbstractCost< LabelT, OutputT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- BatchOutputType
: shark::AbsoluteLoss< VectorType >
, shark::AbstractClustering< InputT >
, shark::AbstractCost< LabelT, OutputT >
, shark::AbstractLoss< LabelT, OutputT >
, shark::AbstractModel< InputTypeT, OutputTypeT >
, shark::ArgMaxConverter< Model >
, shark::CARTClassifier< LabelType >
, shark::ClusteringModel< InputT, OutputT >
, shark::ConcatenatedModel< InputType, OutputType >
, shark::ConvolutionalRBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::HardClusteringModel< InputT >
, shark::HierarchicalClustering< InputT >
, shark::KernelExpansion< InputType >
, shark::LinearModel< InputType >
, shark::MissingFeaturesKernelExpansion< InputType >
, shark::NBClassifier< InputType, OutputType >
, shark::NearestNeighborClassifier< InputType >
, shark::NearestNeighborRegression< InputType >
, shark::Normalizer< DataType >
, shark::OneVersusOneClassifier< InputType >
, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >
, shark::SoftNearestNeighborClassifier< InputType >
, shark::SquaredLoss< OutputType, LabelType >
, shark::SquaredLoss< OutputType, unsigned int >
, shark::ZeroOneLoss< LabelType, OutputType >
, shark::ZeroOneLoss< unsigned int, RealVector >
- BlockMatrixType
: shark::EpsilonSvmTrainer< InputType, CacheType >