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https://issues.apache.org/jira/browse/SPARK-15364?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15287533#comment-15287533
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praveen dareddy commented on SPARK-15364:
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Hi,
[~mengxr]
I would like to work on this issue.
After going through
https://github.com/apache/spark/blob/e2efe0529acd748f26dbaa41331d1733ed256237/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala,
I found pickler classes for Vector, DenseVector, NewDense Vector etc.
So, Do we need to add these classes in ML Api as well?
Can you guide me on how to proceed here?
Thanks,
Praveen
> Implement Python picklers for ml.Vector and ml.Matrix under spark.ml.python
> ---------------------------------------------------------------------------
>
> Key: SPARK-15364
> URL: https://issues.apache.org/jira/browse/SPARK-15364
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
>
> Now picklers for both new and old vectors are implemented under
> PythonMLlibAPI. To separate spark.mllib from spark.ml, we should implement
> them under `spark.ml.python` instead. I set the target to 2.1 since those are
> private APIs.
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