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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