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lib/maths/CBoostedTreeImpl.cc

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@@ -771,7 +771,7 @@ CBoostedTreeImpl::candidateSplits(const core::CDataFrame& frame,
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// between two consecutive integers they must produce identical partitions
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// of the data and so always have the same loss. We only need to retain
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// one such split for training. We achieve this by snapping to the midpoint
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// and subsquently deduplicating.
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// and subsequently deduplicating.
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std::for_each(featureSplits.begin(), featureSplits.end(),
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[](double& split) { split = std::floor(split) + 0.5; });
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}

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