| accumulate() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| dimension() const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| featureOffset(const LabelType l) const | opengm::functions::learnable::LUnary< T, I, L > | inlineprotected |
| features_ | opengm::functions::learnable::LUnary< T, I, L > | protected |
| forAllValuesInAnyOrder(FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAllValuesInAnyOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAllValuesInOrder(FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAllValuesInOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAllValuesInSwitchedOrder(FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAtLeastAllUniqueValues(FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| forAtLeastAllUniqueValuesWithCoordinate(COORDINATE_FUNCTOR &functor) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| functionShapeBegin() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| functionShapeEnd() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| FunctionShapeIteratorType typedef | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | |
| IndexType typedef | opengm::functions::learnable::LUnary< T, I, L > | |
| isAbsoluteDifference() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isGeneralizedPotts() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isLinearConstraint() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isPotts() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isSquaredDifference() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isSubmodular() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isTruncatedAbsoluteDifference() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| isTruncatedSquaredDifference() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| LabelType typedef | opengm::functions::learnable::LUnary< T, I, L > | |
| LUnary() | opengm::functions::learnable::LUnary< T, I, L > | inline |
| LUnary(const opengm::learning::Weights< T > &weights, std::vector< FeaturesAndIndices< T, I > > featuresAndIndicesPerLabel) | opengm::functions::learnable::LUnary< T, I, L > | inline |
| LUnary(const opengm::learning::Weights< T > &weights, const LabelType numberOfLabels, marray::Marray< size_t > weightIds, marray::Marray< ValueType > features, const bool makeFirstEntryConst) | opengm::functions::learnable::LUnary< T, I, L > | |
| max() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| min() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| minMax() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| numberOfLabels_ | opengm::functions::learnable::LUnary< T, I, L > | protected |
| numberOfWeights() const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| numWeightsForL(const LabelType l) const | opengm::functions::learnable::LUnary< T, I, L > | inlineprotected |
| offsets_ | opengm::functions::learnable::LUnary< T, I, L > | protected |
| operator()(ITERATOR) const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| operator==(const opengm::functions::learnable::LUnary< T, I, L > &) const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| product() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| setWeights(const opengm::learning::Weights< T > &weights) const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| shape(const size_t) const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| size() const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| sum() const | opengm::FunctionBase< opengm::functions::learnable::LUnary< T, I, L >, T, I, L > | inline |
| V typedef | opengm::functions::learnable::LUnary< T, I, L > | |
| ValueType typedef | opengm::functions::learnable::LUnary< T, I, L > | |
| weightGradient(size_t, ITERATOR) const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| weightIdOffset(const LabelType l) const | opengm::functions::learnable::LUnary< T, I, L > | inlineprotected |
| weightIds_ | opengm::functions::learnable::LUnary< T, I, L > | protected |
| weightIndex(const size_t weightNumber) const | opengm::functions::learnable::LUnary< T, I, L > | inline |
| weights_ | opengm::functions::learnable::LUnary< T, I, L > | mutableprotected |