GitHub user jonmclean opened a pull request:
https://github.com/apache/spark/pull/17877
[SPARK-20615][ML][TEST] SparseVector.argmax throws IndexOutOfBoundsException
## What changes were proposed in this pull request?
Added a check for for the number of defined values. Previously the argmax
function assumed that at least one value was defined if the vector size was
greater than zero.
## How was this patch tested?
Tests were added to the existing VectorsSuite to cover this case.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jonmclean/spark vectorArgmaxIndexBug
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17877.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #17877
----
commit 2096430261ca5709f09170c9ac523de0b612025f
Author: Jon McLean <[email protected]>
Date: 2017-05-05T21:01:09Z
Added tests to illustrate bug SPARK-20615
commit 5614f58f530d3d64a99f6196c39206d749ceb87a
Author: Jon McLean <[email protected]>
Date: 2017-05-05T21:10:07Z
Made SparseVector.argmax return 0 when no values are defined in the vector.
This situation can happen when the SparseVector has a size greater than zero
but has no defined elements other than zero
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