Xiangrui Meng 1a9c6cddad [SPARK-3573][MLLIB] Make MLlib's Vector compatible with SQL's SchemaRDD ... Register MLlib's Vector as a SQL user-defined type (UDT) in both Scala and Python. With this PR, we can easily map a RDD[LabeledPoint] to a SchemaRDD, and then select columns or save to a Parquet file. Examples in Scala/Python are attached. The Scala code was copied from jkbradley. ~~This PR contains the changes from #3068 . I will rebase after #3068 is merged.~~ marmbrus jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #3070 from mengxr/SPARK-3573 and squashes the following commits: 3a0b6e5 [Xiangrui Meng] organize imports 236f0a0 [Xiangrui Meng] register vector as UDT and provide dataset examples		2014-11-03 22:29:48 -08:00
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src/main	[SPARK-3573][MLLIB] Make MLlib's Vector compatible with SQL's SchemaRDD	2014-11-03 22:29:48 -08:00
pom.xml	SPARK-4022 [CORE] [MLLIB] Replace colt dependency (LGPL) with commons-math	2014-10-27 10:53:15 -07:00