GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/4863
[SPARK-6090][MLLIB] add a basic BinaryClassificationMetrics to PySpark/MLlib
A simple wrapper around the Scala implementation. `DataFrame` is used for
serialization/deserialization. Methods that return `RDD`s are not supported in
this PR.
@davies If we recognize Scala's `Product`s in Py4J, we can easily add
wrappers for Scala methods that returns `RDD[(Double, Double)]`. Is it easy to
register serializer for `Product` in PySpark?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mengxr/spark SPARK-6090
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4863.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 #4863
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commit dcddab5a422e149a9e60bc17fae264f4ca4ec15f
Author: Xiangrui Meng <[email protected]>
Date: 2015-03-03T02:02:01Z
add a basic BinaryClassificationMetrics to PySpark/MLlib
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