GitHub user imatiach-msft opened a pull request:
https://github.com/apache/spark/pull/16494
[SPARK-17975][MLLIB] Fix EMLDAOptimizer failing with ClassCastException
## What changes were proposed in this pull request?
LDA fails with a ClassCastException when run on a dataset with at least one
row that contains an empty sparse vector. The error occurs in method fromEdges
where one of the edges may already be an EdgeRDDImpl and it does not need to be
converted.
## How was this patch tested?
I first ran LDA on the dataset provided by the JIRA submitter and I was
able to reproduce the issue. I then fixed the issue based on the submitter's
suggestion and simplified the test case so that we wouldn't need to read in a
file.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/imatiach-msft/spark ilmat/fix-EMLDA
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16494.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 #16494
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commit 0a201b713276b92a20db330ccd20b9a562694f5a
Author: Ilya Matiach <il...@microsoft.com>
Date: 2017-01-06T21:36:19Z
adding test case to reproduce the error
commit 66dbfea60fec23fb8b39e23adf1861cfa02d7d42
Author: Ilya Matiach <il...@microsoft.com>
Date: 2017-01-07T00:42:49Z
[SPARK-17975][MLLIB] Fix EMLDAOptimizer failing with ClassCastException
commit 0d1c475c80a6fd0373108610ca8e41f7af0e6d01
Author: Ilya Matiach <il...@microsoft.com>
Date: 2017-01-07T01:04:40Z
Optimizing test case
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