Avoid NaN values in WeightedSnapshot #1233
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Theoretically, we could have a snapshot with the values which have zero weights. In this case a normalized weight will have a NaN value, because 0/0 = NaN. We should avoid it and in case a weight is zero, make the normalized weight zero too.
arteam
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Dec 19, 2017
Theoretically, we could have a snapshot with the values which have zero weights. In this case a normalized weight will have a NaN value, because 0/0 = NaN. We should avoid it and in case a weight is zero, make the normalized weight zero too.
arteam
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that referenced
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Dec 21, 2017
Theoretically, we could have a snapshot with the values which have zero weights. In this case a normalized weight will have a NaN value, because 0/0 = NaN. We should avoid it and in case a weight is zero, make the normalized weight zero too.
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Theoretically, we could have a snapshot with the values which have zero weights. In this case a normalized weight will have a NaN value, because 0/0 = NaN. We should avoid it and in case a weight is zero, make the normalized weight zero too.
See #1230 and #1173