| accumulate() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| dimension() const | opengm::UnaryLossFunction< T, I, L > | inline |
| forAllValuesInAnyOrder(FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAllValuesInAnyOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAllValuesInOrder(FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAllValuesInOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAllValuesInSwitchedOrder(FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAtLeastAllUniqueValues(FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| forAtLeastAllUniqueValuesWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| functionShapeBegin() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| functionShapeEnd() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| FunctionShapeIteratorType typedef | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | |
| HammingLoss enum value | opengm::UnaryLossFunction< T, I, L > | |
| IndexType typedef | opengm::UnaryLossFunction< T, I, L > | |
| isAbsoluteDifference() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isGeneralizedPotts() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isLinearConstraint() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isPotts() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isSquaredDifference() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isSubmodular() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isTruncatedAbsoluteDifference() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| isTruncatedSquaredDifference() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| L1Loss enum value | opengm::UnaryLossFunction< T, I, L > | |
| L2Loss enum value | opengm::UnaryLossFunction< T, I, L > | |
| LabelMatrix enum value | opengm::UnaryLossFunction< T, I, L > | |
| LabelType typedef | opengm::UnaryLossFunction< T, I, L > | |
| LabelVectorConf enum value | opengm::UnaryLossFunction< T, I, L > | |
| LabelVectorGt enum value | opengm::UnaryLossFunction< T, I, L > | |
| LossType enum name | opengm::UnaryLossFunction< T, I, L > | |
| max() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| min() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| minMax() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| numberOfWeights() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| operator()(Iterator begin) const | opengm::UnaryLossFunction< T, I, L > | inline |
| operator==(const UnaryLossFunction< T, I, L > &) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| product() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| setWeights(const opengm::learning::Weights< T > &) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| shape(const IndexType) const | opengm::UnaryLossFunction< T, I, L > | inline |
| size() const | opengm::UnaryLossFunction< T, I, L > | inline |
| sum() const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| UnaryLossFunction(const LabelType numberOfLabels, const LabelType gtLabel, const LossType lossType, const ValueType multiplier, const SharedMultiplers &sharedMultiplers, const bool owner) | opengm::UnaryLossFunction< T, I, L > | inline |
| value_type typedef | opengm::UnaryLossFunction< T, I, L > | |
| ValueType typedef | opengm::UnaryLossFunction< T, I, L > | |
| weightGradient(size_t, ITERATOR) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
| weightIndex(const size_t weightNumber) const | opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L > | inline |
