本文整理汇总了C++中boost::shared_ptr::GetBGIPforLRF方法的典型用法代码示例。如果您正苦于以下问题：C++ shared_ptr::GetBGIPforLRF方法的具体用法？C++ shared_ptr::GetBGIPforLRF怎么用？C++ shared_ptr::GetBGIPforLRF使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类boost::shared_ptr的用法示例。
在下文中一共展示了shared_ptr::GetBGIPforLRF方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: Construct_JointType_Factors_CGBG
void BGCG_SolverMaxPlus::Construct_JointType_Factors_CGBG(
const boost::shared_ptr<const BayesianGameCollaborativeGraphical> &bgcg,
const vector< vector<Index> >& var_indices,
const vector< libDAI::Var >& vars,
vector<libDAI::Factor>& facs,
int verbosity)
{
size_t nrLRFs = bgcg->GetNrLRFs();
//compute nrFacs:
size_t nrFacs = 0;
for(Index e=0; e < nrLRFs; e++)
{
const BayesianGameIdenticalPayoff * bgip_e = bgcg->GetBGIPforLRF (e);
size_t nrJT_e = bgip_e->GetNrJointTypes();
if(verbosity >= 2)
cout << "Edge "<<e<<" has " << nrJT_e <<
" local joint types (i.e. factors)" <<endl;
nrFacs += nrJT_e;
}
if(verbosity >= 1)
cout << "FactorGraph has "<<nrFacs<<" factors"<<endl;
facs.reserve(nrFacs);
for(Index e=0; e < nrLRFs; e++)
{
//construct the factors for LRF component e.
const BayesianGameIdenticalPayoff * bgip_e = bgcg->GetBGIPforLRF (e);
Scope agentScope = bgcg->GetScope(e);
const size_t nrJA_e = bgip_e->GetNrJointActions();
for(Index jtI_e=0; jtI_e < bgip_e->GetNrJointTypes(); jtI_e++)
{
vector<Index> indTypes_e =
bgip_e->JointToIndividualTypeIndices(jtI_e);
if(verbosity > 5)
cout << "Adding factor for joint type jtI_e="<<jtI_e<<
" ( indtypes_e="<<SoftPrintVector(indTypes_e) << " )"<<endl;
//compute the agent-type (i.e., factor) indices atI, get the
//relevant variables and put them in a VarSet
libDAI::VarSet vs;
for(Index agI_e=0; agI_e < bgip_e->GetNrAgents(); agI_e++)
{
//translate agI_e to global agent index:
Index agI = agentScope.at(agI_e);
Index atI = var_indices[agI][indTypes_e[agI_e]];
vs = vs | vars[atI];
if(verbosity > 5)
cout << "agent "<<agI<<
" contributes through variable atI="<<atI<<endl;
}
libDAI::Real factor_vals[nrJA_e];
for(Index jaI_e=0; jaI_e < nrJA_e; jaI_e++)
{
vector<Index> indAcs =
bgip_e->JointToIndividualActionIndices(jaI_e);
vector<size_t> indAcsST(indAcs.size());
for(Index i=0; i<indAcs.size(); i++)
indAcsST[i] = (size_t) indAcs[i];
if(verbosity > 5)
cout << "Computing joint factor index (JFI) for vs="<<vs
<<", (action)indices="<< SoftPrintVector(indAcs) <<endl;
Index jointFactorIndex =
libDAI::Factor::IndividualToJointFactorIndex(vs, indAcsST);
if(verbosity > 5)
cout << "JFI="<<jointFactorIndex<< " Utility "
<< bgip_e->GetUtility(jtI_e, jaI_e) << " Prob "
<< bgip_e->GetProbability(jtI_e) << endl;
double perturbation=(1e-6*rand())/RAND_MAX;
factor_vals[jointFactorIndex] =
(bgip_e->GetUtility(jtI_e, jaI_e) + perturbation) *
bgip_e->GetProbability(jtI_e);
}
libDAI::Factor f(vs, factor_vals);
if(verbosity > 4)
{
cout << "Added factor f:"<< f << endl;
}
facs.push_back(f);
}// <- end for jtI_e
}// <- end for e
}