GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/15288
[SPARK-17697][ML] Fixed bug in summary calculations that pattern match
against label without casting
## What changes were proposed in this pull request?
In calling LogisticRegression.evaluate and
GeneralizedLinearRegression.evaluate using a Dataset where the Label is not of
a double type, calculations pattern match against a double and throw a
MatchError. This fix casts the Label column to a DoubleType to ensure there is
no MatchError.
## How was this patch tested?
Added unit tests to call evaluate with a dataset that has Label as other
numeric types.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/BryanCutler/spark
binaryLOR-numericCheck-SPARK-17697
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15288.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 #15288
----
commit 91f5be81a24eb14ae6206fa5f01cb2cf286504b6
Author: Bryan Cutler <[email protected]>
Date: 2016-09-28T22:15:08Z
added fix in LogisticRegression to evaluate with numeric types other than
double
commit 5c508611e0148b8224be6b06158d1ed4f349a70d
Author: Bryan Cutler <[email protected]>
Date: 2016-09-28T22:45:59Z
fixed same issue in GeneralizedLinearRegression
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