hyukjinkwon 99f3c82776 [SPARK-14615][ML][FOLLOWUP] Fix Python examples to use the new ML Vector and Matrix APIs in the ML pipeline based algorithms ... ## What changes were proposed in this pull request? This PR fixes Python examples to use the new ML Vector and Matrix APIs in the ML pipeline based algorithms. I firstly executed this shell command, `grep -r "from pyspark.mllib" .` and then executed them all. Some of tests in `ml` produced the error messages as below: ``` pyspark.sql.utils.IllegalArgumentException: u'requirement failed: Input type must be VectorUDT but got org.apache.spark.mllib.linalg.VectorUDTf71b0bce.' ``` So, I fixed them to use new ones just identically with some Python tests fixed in https://github.com/apache/spark/pull/12627 ## How was this patch tested? Manually tested for all the examples listed by `grep -r "from pyspark.mllib" .`. Author: hyukjinkwon <gurwls223@gmail.com> Closes #13393 from HyukjinKwon/SPARK-14615.		2016-06-10 18:29:26 -07:00
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src/main	[SPARK-14615][ML][FOLLOWUP] Fix Python examples to use the new ML Vector and Matrix APIs in the ML pipeline based algorithms	2016-06-10 18:29:26 -07:00
pom.xml	[SPARK-15085][STREAMING][KAFKA] Rename streaming-kafka artifact	2016-05-11 12:15:41 -07:00