Merge branch 'develop' into wrap/rng

release/4.3a0
Varun Agrawal 2025-05-15 22:58:29 -04:00
commit faedfcb182
1 changed files with 1 additions and 1 deletions

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@ -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(