Github user iyounus commented on the pull request: https://github.com/apache/spark/pull/11610#issuecomment-194522061 I should point out that to identify constant features, I'm comparing variance (aVar) to zero. But, It can happen that the variance for constant features may not be identically zero due to numerical inaccuracies. In this case, the cholesky decomposition still fails. Is there a good way to deal with this problem. I'm thinking of comparing aVar to some very small number, maybe 1e-10, instead of 0.0. Is there a better way to deal with this problem?
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