GetAdditionalData() const | mitk::LinearSplitting< TLossAccumulator > | |
GetBestCurrentCounts() | mitk::LinearSplitting< TLossAccumulator > | inline |
GetMinimumIndex() | mitk::LinearSplitting< TLossAccumulator > | inline |
GetMinimumLoss() | mitk::LinearSplitting< TLossAccumulator > | inline |
GetMinimumThreshold() | mitk::LinearSplitting< TLossAccumulator > | inline |
GetPointWeights() | mitk::LinearSplitting< TLossAccumulator > | |
IsUsingPointWeights() | mitk::LinearSplitting< TLossAccumulator > | |
IsUsingRandomSplit() | mitk::LinearSplitting< TLossAccumulator > | |
LinearSplitting() | mitk::LinearSplitting< TLossAccumulator > | |
LinearSplitting(vigra::ProblemSpec< T > const &ext) | mitk::LinearSplitting< TLossAccumulator > | |
LossOfRegion(TDataSourceLabel const &labels, TDataIterator &begin, TDataIterator &end, TArray const ®ionResponse) | mitk::LinearSplitting< TLossAccumulator > | |
operator()(TDataSourceFeature const &column, TDataSourceLabel const &labels, TDataIterator &begin, TDataIterator &end, TArray const ®ionResponse) | mitk::LinearSplitting< TLossAccumulator > | |
set_external_parameters(vigra::ProblemSpec< T > const &ext) | mitk::LinearSplitting< TLossAccumulator > | |
SetAdditionalData(AdditionalRFDataAbstract *data) | mitk::LinearSplitting< TLossAccumulator > | |
SetPointWeights(WeightContainerType weight) | mitk::LinearSplitting< TLossAccumulator > | |
TWeightContainer typedef | mitk::LinearSplitting< TLossAccumulator > | |
UsePointWeights(bool pointWeight) | mitk::LinearSplitting< TLossAccumulator > | |
UseRandomSplit(bool randomSplit) | mitk::LinearSplitting< TLossAccumulator > | |
WeightContainerType typedef | mitk::LinearSplitting< TLossAccumulator > | |