Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/11365#issuecomment-208857657
@mengxr I run test on a dataset with a constant nonzero column.
* If ```fitIntercept==true```, Spark ```AFTSurvivalRegression``` and R
```survreg``` output the same result which setting the coefficients to 0.0 for
the constant feature column.
* If ```fitIntercept==false```, Spark ```AFTSurvivalRegression``` output
different solution from R ```survreg```. R output nonzero coefficients for the
constant feature column.
If there are constant columns and ```fitIntercept``` is false. We should
output a warning message and clarify in document. I think it should be handle
with ```LogisticRegression``` together at
[SPARK-13590](https://issues.apache.org/jira/browse/SPARK-13590).
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