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| author | Xiangrui Meng <meng@databricks.com> | 2015-03-05 11:50:09 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-03-05 11:50:09 -0800 |
| commit | 0bfacd5c5dd7d10a69bcbcbda630f0843d1cf285 (patch) | |
| tree | 2b13352131bb3dbd88e4214c6c7728d26898d25e /README.md | |
| parent | c9cfba0cebe3eb546e3e96f3e5b9b89a74c5b7de (diff) | |
| download | spark-0bfacd5c5dd7d10a69bcbcbda630f0843d1cf285.tar.gz spark-0bfacd5c5dd7d10a69bcbcbda630f0843d1cf285.tar.bz2 spark-0bfacd5c5dd7d10a69bcbcbda630f0843d1cf285.zip | |
[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?
Author: Xiangrui Meng <meng@databricks.com>
Closes #4863 from mengxr/SPARK-6090 and squashes the following commits:
009a3a3 [Xiangrui Meng] provide schema
dcddab5 [Xiangrui Meng] add a basic BinaryClassificationMetrics to PySpark/MLlib
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