get_model
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				|  | @ -95,7 +95,7 @@ public: | |||
| 	    As_.insert(terms[i]); | ||||
| 	} | ||||
| 
 | ||||
| 	/** Construct an n-ary factor with a multiple sigmas*/ | ||||
| 	/** Construct an n-ary factor with multiple sigmas*/ | ||||
| 	GaussianFactor(const std::vector<std::pair<Symbol, Matrix> > &terms, | ||||
| 				const Vector &b, const Vector& sigmas) : | ||||
| 			b_(b), model_(noiseModel::Diagonal::Sigmas(sigmas)) { | ||||
|  | @ -139,6 +139,9 @@ public: | |||
| 	/** get a copy of sigmas */ | ||||
| 	const Vector& get_sigmas() const {	return model_->sigmas();	} | ||||
| 
 | ||||
| 	/** get a copy of sigmas */ | ||||
| 	const sharedDiagonal& get_model() const {	return model_;	} | ||||
| 
 | ||||
| 	/**
 | ||||
| 	 * get a copy of the A matrix from a specific node | ||||
| 	 * O(log n) | ||||
|  |  | |||
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