use deadModeThreshold
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@ -72,7 +72,7 @@ HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves, bool removeDeadModes,
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Vector probabilities = marginals.marginalProbabilities(dkey);
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int index = -1;
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auto threshold = (probabilities.array() > 0.99);
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auto threshold = (probabilities.array() > deadModeThreshold);
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// If atleast 1 value is non-zero, then we can find the index
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// Else if all are zero, index would be set to 0 which is incorrect
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if (!threshold.isZero()) {
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