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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2017/03/24 20:34:41 UTC
[jira] [Resolved] (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 resolved SPARK-17471.
-----------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15628
[https://github.com/apache/spark/pull/15628]
> 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
> Fix For: 2.2.0
>
>
> 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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