Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5707#issuecomment-100697129
It looks like the same PySpark test failure is occurring, and it looks like
a valid failure:
```
======================================================================
ERROR: test_load_vectors (__main__.MLUtilsTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "pyspark/mllib/tests.py", line 847, in test_load_vectors
ret.sort()
TypeError: unorderable types: DenseVector() < DenseVector()
```
There might be faster turnaround if you ran the tests locally before
pushing the update.
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