Learnable weighted sum of feature-functions. More...

#include <lweightedsum_of_functions.hxx>

Inheritance diagram for opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >:

Collaboration diagram for opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >:

Public Types
typedef T	ValueType

typedef L	LabelType

typedef I	IndexType

Public Types inherited from opengm::FunctionBase< opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >, T, I, L >
typedef AccessorIterator< FunctionShapeAccessorType, true >	FunctionShapeIteratorType

Public Member Functions
	LWeightedSumOfFunctions ()

	LWeightedSumOfFunctions (const std::vector< L > &shape, const opengm::learning::Weights< T > &weights, const std::vector< size_t > &weightIDs, const std::vector< marray::Marray< T > > &feat)

L	shape (const size_t) const

size_t	size () const

size_t	dimension () const

template<class ITERATOR >
T	operator() (ITERATOR) const

void	setWeights (const opengm::learning::Weights< T > &weights) const

size_t	numberOfWeights () const

I	weightIndex (const size_t weightNumber) const

template<class ITERATOR >
T	weightGradient (size_t, ITERATOR) const

Public Member Functions inherited from opengm::FunctionBase< opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >, T, I, L >
bool	isPotts () const

bool	isGeneralizedPotts () const

bool	isSubmodular () const

bool	isSquaredDifference () const

bool	isTruncatedSquaredDifference () const

bool	isAbsoluteDifference () const

bool	isTruncatedAbsoluteDifference () const

bool	isLinearConstraint () const

MinMaxFunctor< T >	minMax () const
	find minimum and maximum of the function in a single sweep More...

ReturnType	min () const

ReturnType	max () const

ReturnType	sum () const

ReturnType	product () const

ReturnType	accumulate () const
	accumulate all values of the function More...

void	forAllValuesInOrder (FUNCTOR &functor) const
	call a functor for each value of the function (in lexicographical order of the variable indices) More...

void	forAllValuesInSwitchedOrder (FUNCTOR &functor) const

void	forAllValuesInAnyOrder (FUNCTOR &functor) const
	call a functor for each value of the function (in un-specified order) More...

void	forAtLeastAllUniqueValues (FUNCTOR &functor) const
	call a functor for at least all unique values of the function More...

void	forAllValuesInOrderWithCoordinate (COORDINATE_FUNCTOR &functor) const

void	forAllValuesInAnyOrderWithCoordinate (COORDINATE_FUNCTOR &functor) const

void	forAtLeastAllUniqueValuesWithCoordinate (COORDINATE_FUNCTOR &functor) const

bool	operator== (const opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L > &) const

FunctionShapeIteratorType	functionShapeBegin () const

FunctionShapeIteratorType	functionShapeEnd () const

size_t	numberOfWeights () const

I	weightIndex (const size_t weightNumber) const

void	setWeights (const opengm::learning::Weights< T > &) const

T	weightGradient (size_t, ITERATOR) const

Protected Attributes
const opengm::learning::Weights< T > *	weights_

std::vector< L >	shape_

std::vector< size_t >	weightIDs_

std::vector< marray::Marray< T > >	feat_

Detailed Description

template<class T, class I = size_t, class L = size_t>
class opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >

Learnable weighted sum of feature-functions.

f(x) = w(i) * feat(i)(x)

w = parameter vector
feat = feature-function vector

Definition at line 28 of file lweightedsum_of_functions.hxx.

Member Typedef Documentation

§ IndexType

template<class T, class I = size_t, class L = size_t>

typedef I opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >::IndexType

Definition at line 34 of file lweightedsum_of_functions.hxx.

§ LabelType

template<class T, class I = size_t, class L = size_t>

typedef L opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >::LabelType

Definition at line 33 of file lweightedsum_of_functions.hxx.

§ ValueType

template<class T, class I = size_t, class L = size_t>

typedef T opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >::ValueType

Definition at line 32 of file lweightedsum_of_functions.hxx.

Constructor & Destructor Documentation

§ LWeightedSumOfFunctions() [1/2]

template<class T , class I , class L >

opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >::LWeightedSumOfFunctions ( )

inline

Definition at line 89 of file lweightedsum_of_functions.hxx.

Here is the call graph for this function:

§ LWeightedSumOfFunctions() [2/2]

template<class T , class I , class L >

opengm::functions::learnable::LWeightedSumOfFunctions< T, I, L >::LWeightedSumOfFunctions	(	const std::vector< L > &	shape,
		const opengm::learning::Weights< T > &	weights,
		const std::vector< size_t > &	weightIDs,
		const std::vector< marray::Marray< T > > &	feat
	)