Github user iyounus commented on the pull request:
https://github.com/apache/spark/pull/10940#issuecomment-176454056
@dbtsai Linear regression also has similar issues. There, "normal" and
"l-gbfs" solvers treat this case differently (and incorrectly). The other
problem there is that if intercept=true, then a constant feature column makes
the gramian matrix singular and cholesky decomposition fails. Should I create
separate jira for the case of constant feature?
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