GitHub user shahidki31 opened a pull request:
https://github.com/apache/spark/pull/21842
[Minor][ML]Added UT for checking maximum number of features for
GeneralizedLinearRegression and WeightedLeastSquares
Currently in the GeneralizedLinearRegression and WeightedLeastSquare
doesn't support more than 4096 features. But there is no UT added to check
this. In this PR, I have added UT for checking the behavior of both the
algorithms, if the features are more than 4096.
## How was this patch tested?
Added UT
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/shahidki31/spark maxFeatureCheckUT
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/21842.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 #21842
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commit 42c61eaeecff0c37fee1be35ba48494b70639b70
Author: Shahid <shahidki31@...>
Date: 2018-07-22T19:28:08Z
[Minor][ML]Added UT for checking maximum number of features for
GeneralizedLinearRegression and WeightedLeastSquares
Currently GeneralizedLinearRegression and WeightedLeastSquare doesn't
support features more than 4096. But there is no UT added to check this. In
this PR, I have added UT for checking the behaviour of both the algorithms, if
the features are more than 4096.
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