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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-17471) Add compressed method for Matrix class
Date Tue, 25 Oct 2016 20:15:58 GMT

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

Apache Spark reassigned SPARK-17471:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> 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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