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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/04/28 03:33:06 UTC

[jira] [Updated] (SPARK-5726) Hadamard Vector Product Transformer

     [ https://issues.apache.org/jira/browse/SPARK-5726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-5726:
---------------------------------
    Shepherd: Xiangrui Meng

> Hadamard Vector Product Transformer
> -----------------------------------
>
>                 Key: SPARK-5726
>                 URL: https://issues.apache.org/jira/browse/SPARK-5726
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>            Reporter: Octavian Geagla
>            Assignee: Octavian Geagla
>
> I originally posted my idea here: http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html
> A draft of this feature is implemented, documented, and tested already.  Code is on a branch on my fork here: https://github.com/ogeagla/spark/compare/spark-mllib-weighting
> I'm curious if there is any interest in this feature, in which case I'd appreciate some feedback.  One thing that might be useful is an example/test case using the transformer within the ML pipeline, since there are not any examples which use Vectors.



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