bestSplitColumn() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
bestSplitThreshold() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
findBestSplit(vigra::MultiArrayView< 2, T, C > features, vigra::MultiArrayView< 2, T2, C2 > labels, Region ®ion, vigra::ArrayVector< Region > &childRegions, Random &randint) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
GetFeatureCalculator() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
GetMaximumTreeDepth() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | virtual |
GetPrecision() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
GetWeights() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
IsCalculatingFeature() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
IsUsingPointBasedWeights() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
IsUsingRandomSplit() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | inline |
minGini() const | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
region_gini_ | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
set_external_parameters(vigra::ProblemSpec< T > const &in) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
SetCalculatingFeature(bool calculate) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
SetFeatureCalculator(TFeatureCalculator processor) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
SetMaximumTreeDepth(int value) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
SetPrecision(double value) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
SetWeights(vigra::MultiArrayView< 2, double > weights) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
ThresholdSplit() | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
UsePointBasedWeights(bool weightsOn) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | |
UseRandomSplit(bool split) | mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > | inline |