GitHub user admackin opened a pull request:

    https://github.com/apache/spark/pull/16652

    [SPARK-19234][MLLib] AFTSurvivalRegression should fail fast when any labels 
are zero

    ## What changes were proposed in this pull request?
    
    If any labels of 0.0 (which are invalid) are supplied, 
AFTSurvivalRegression gives an error straight away rather than 
hard-to-interpret warnings and zero-valued coefficients in the output.
    
    ## How was this patch tested?
    
    Verified against current test suite. (One test needed to be updated as it 
was providing values of zero for labels so was failing after this patch)
    
    Please review http://spark.apache.org/contributing.html before opening a 
pull request.


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/admackin/spark master

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/16652.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 #16652
    
----
commit ab6d4148c4aa721898733b14eec5068652ca1085
Author: Andy MacKinlay <a...@akmy.net>
Date:   2017-01-20T01:56:45Z

    Addresses SPARK-19234 - make sure label is positive

commit b07c281c378d68d86b81498ca247c7346719973e
Author: Andy MacKinlay <a...@akmy.net>
Date:   2017-01-20T04:02:54Z

    Addresses SPARK-19234 - fix test suite to ensure no zero-labels get passed 
in test cases as they now throw errors

----


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