opengm::UnaryLossFunction< T, I, L > Member List

This is the complete list of members for opengm::UnaryLossFunction< T, I, L >, including all inherited members.

accumulate() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
dimension() const	opengm::UnaryLossFunction< T, I, L >	inline
forAllValuesInAnyOrder(FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAllValuesInAnyOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAllValuesInOrder(FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAllValuesInOrderWithCoordinate(COORDINATE_FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAllValuesInSwitchedOrder(FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAtLeastAllUniqueValues(FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
forAtLeastAllUniqueValuesWithCoordinate(COORDINATE_FUNCTOR &functor) const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
functionShapeBegin() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
functionShapeEnd() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
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 >
isGeneralizedPotts() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isLinearConstraint() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isPotts() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isSquaredDifference() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isSubmodular() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isTruncatedAbsoluteDifference() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
isTruncatedSquaredDifference() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
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 >
min() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
minMax() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
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 >
product() const	opengm::FunctionBase< UnaryLossFunction< T, I, L >, T, I, L >
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 >
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