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