opengm::LOC< GM, ACC >::Parameter Class Reference

#include <loc.hxx>

Collaboration diagram for opengm::LOC< GM, ACC >::Parameter:

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List of all members.

Public Member Functions
	Parameter (double phi=0.5, size_t maxRadius=10, size_t maxIterations=0, size_t aStarThreshold=10, const std::vector< LabelType > &startPoint=std::vector< LabelType >())
	constuctor
Public Attributes
double	phi_
	phi of the truncated geometric distribution is used to select a certain subgraph radius with a certain probability
size_t	maxRadius_
	maximum subgraph radius
size_t	maxIterations_
	maximum number of iterations
size_t	aStarThreshold_
	subgraph size threshold to switch from brute-force to a*star search
std::vector< LabelType >	startPoint_
	starting point for warm started inference

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Detailed Description

template<class GM, class ACC>
class opengm::LOC< GM, ACC >::Parameter

Definition at line 42 of file loc.hxx.

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Constructor & Destructor Documentation

template<class GM, class ACC>

opengm::LOC< GM, ACC >::Parameter::Parameter	(	double	phi = 0.5,
		size_t	maxRadius = 10,
		size_t	maxIterations = 0,
		size_t	aStarThreshold = 10,
		const std::vector< LabelType > &	startPoint = std::vector<LabelType>()
	)			[inline]

constuctor

Parameters:

	phi	parameter of the truncated geometric distribution is used to select a certain subgraph radius with a certain probability
	maxRadius	maximum radius for the subgraphes which are optimized within opengm:LOC
	maxIteration	maximum number of iterations (in one iteration on subgraph gets) optimized
	aStarThreshold	if the subgraph size is bigger than aStarThreshold opengm::Astar is used to optimize the subgraphes
	startPoint_	starting point for the inference

Definition at line 51 of file loc.hxx.

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Member Data Documentation

template<class GM, class ACC>

size_t opengm::LOC< GM, ACC >::Parameter::aStarThreshold_

subgraph size threshold to switch from brute-force to a*star search

Definition at line 71 of file loc.hxx.

template<class GM, class ACC>

size_t opengm::LOC< GM, ACC >::Parameter::maxIterations_

maximum number of iterations

Definition at line 69 of file loc.hxx.

template<class GM, class ACC>

size_t opengm::LOC< GM, ACC >::Parameter::maxRadius_

maximum subgraph radius

Definition at line 67 of file loc.hxx.

template<class GM, class ACC>

double opengm::LOC< GM, ACC >::Parameter::phi_

phi of the truncated geometric distribution is used to select a certain subgraph radius with a certain probability

Definition at line 65 of file loc.hxx.

template<class GM, class ACC>

std::vector<LabelType> opengm::LOC< GM, ACC >::Parameter::startPoint_

starting point for warm started inference

Definition at line 73 of file loc.hxx.