Xiangrui Meng 0bfacd5c5d [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		2015-03-05 11:50:09 -08:00
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src	[SPARK-6090][MLLIB] add a basic BinaryClassificationMetrics to PySpark/MLlib	2015-03-05 11:50:09 -08:00
pom.xml	SPARK-6182 [BUILD] spark-parent pom needs to be published for both 2.10 and 2.11	2015-03-05 11:31:48 -08:00