GitHub user iyounus opened a pull request:
https://github.com/apache/spark/pull/10274
[SPARK-12230][ML] WeightedLeastSquares.fit() should handle division by zero
properly if standard deviation of target variable is zero.
This fixes the behavior of WeightedLeastSquars.fit() when the standard
deviation of the target variable is zero. If the fitIntercept is true, there is
no need to train.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/iyounus/spark
SPARK-12230_bug_fix_in_weighted_least_squares
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10274.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 #10274
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commit 4c549f99bcfd7fdd826a38e944799bc9fb2b9508
Author: Imran Younus <iyou...@us.ibm.com>
Date: 2015-12-12T03:11:41Z
fixing fit in weighted least sqaures when std of lable is zero.
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