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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2016/11/11 01:06:59 UTC

[jira] [Updated] (SPARK-17471) Add compressed method for Matrix class

     [ https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

DB Tsai updated SPARK-17471:
----------------------------
    Assignee: Seth Hendrickson  (was: DB Tsai)

> Add compressed method for Matrix class
> --------------------------------------
>
>                 Key: SPARK-17471
>                 URL: https://issues.apache.org/jira/browse/SPARK-17471
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Seth Hendrickson
>            Assignee: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or dense representation by minimizing storage requirements. Matrices should also have this method, which is now explicitly needed in {{LogisticRegression}} since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or column major, and if nothing is specified should select the lower storage representation (for sparse).



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