address review comment
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@ -71,7 +71,7 @@ DiscreteValues DiscreteBayesNet::sample(DiscreteValues result) const {
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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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