GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/12969
[SPARK-15096][ML]:LogisticRegression MultiClassSummarizer numClasses can
fail if no valid labels are found
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
Throw better exception when numClasses is empty and empty.max is thrown.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration
tests, manual tests)
Add a new unit test, which calls histogram with empty numClasses.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wangmiao1981/spark logisticR
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12969.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 #12969
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commit cfcb4b2fb72fda66784a111235f9fac611a9926f
Author: wm...@hotmail.com <wm...@hotmail.com>
Date: 2016-05-07T00:05:35Z
add exception to LogisticRegression MultiClassSummarizer numClasses
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