Merge branch 'develop' into wrap/rng
						commit
						faedfcb182
					
				|  | @ -72,7 +72,7 @@ DiscreteValues DiscreteBayesNet::sample(DiscreteValues result, | |||
| 
 | ||||
| /* ************************************************************************* */ | ||||
| // The implementation is: build the entire joint into one factor and then prune.
 | ||||
| // NOTE: This can be quite expensive *unless* the factors have already
 | ||||
| // NOTE(Frank): This can be quite expensive *unless* the factors have already
 | ||||
| // been pruned before. Another, possibly faster approach is branch and bound
 | ||||
| // search to find the K-best leaves and then create a single pruned conditional.
 | ||||
| DiscreteBayesNet DiscreteBayesNet::prune( | ||||
|  |  | |||
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