Github user srowen commented on the issue:
https://github.com/apache/spark/pull/18797
I've figured out the problem, and pretty sure it's a problem in the AFT
test that was hidden until now. It runs AFTSurvivlaRegression on this input:
```
+--------+-----+------+------+
|features|label|censor|weight|
+--------+-----+------+------+
| [0.0]| 0.0| 0.0| 1.0|
| [1.0]| 1.0| 0.0| 1.0|
| [2.0]| 2.0| 0.0| 1.0|
| [3.0]| 3.0| 0.0| 1.0|
| [4.0]| 4.0| 0.0| 0.0|
+--------+-----+------+------+
```
The problem is one label is 0, but this is interpreted as a time to failure
(I believe?). Somewhere the code takes the log of this value, gets NaN, and
eventually causes the error per above.
I think we can just modify the test but wanted to see if that makes sense
to @yanboliang @zhengruifeng @BenFradet who have touched the AFT code?
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