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Removed commented code

release/4.3a0
Richard Roberts 2010-11-03 21:34:07 +00:00
parent 92ddabc4ac
commit d9d2cb7dda
1 changed files with 0 additions and 41 deletions
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gtsam/inference/inference.h
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@ -52,45 +52,4 @@ namespace gtsam {
}; };
// ELIMINATE: FACTOR GRAPH -> BAYES NET
// /**
// * Eliminate a single node yielding a Conditional
// * Eliminates the factors from the factor graph through findAndRemoveFactors
// * and adds a new factor on the separator to the factor graph
// */
// template<class Factor, class Conditional>
// boost::shared_ptr<Conditional>
// eliminateOne(FactorGraph<Factor>& factorGraph, Index key);
//
// /**
// * eliminate factor graph using the given (not necessarily complete)
// * ordering, yielding a chordal Bayes net and (partially eliminated) FG
// */
// template<class Factor, class Conditional>
// BayesNet<Conditional> eliminate(FactorGraph<Factor>& factorGraph, const Ordering& ordering);
// FACTOR/MARGINALIZE: BAYES NET -> FACTOR GRAPH
// /**
// * Factor P(X) as P(not keys|keys) P(keys)
// * @return P(not keys|keys) as an incomplete BayesNet, and P(keys) as a factor graph
// */
// template<class Factor, class Conditional>
// std::pair< BayesNet<Conditional>, FactorGraph<Factor> >
// factor(const BayesNet<Conditional>& bn, const Ordering& keys);
//
// /**
// * integrate out all except ordering, might be inefficient as the ordering
// * will simply be the current ordering with the keys put in the back
// */
// template<class Factor, class Conditional>
// FactorGraph<Factor> marginalize(const BayesNet<Conditional>& bn, const Ordering& keys);
/**
* Hacked-together function to compute a Gaussian marginal for the given variable.
* todo: This is inefficient!
*/
//std::pair<Vector,Matrix> marginalGaussian(const GaussianFactorGraph& fg, const Symbol& key);
} /// namespace gtsam } /// namespace gtsam