You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2016/04/22 01:51:12 UTC

[jira] [Resolved] (SPARK-14734) Add conversions between mllib and ml Vector, Matrix types

     [ https://issues.apache.org/jira/browse/SPARK-14734?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

DB Tsai resolved SPARK-14734.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 12504
[https://github.com/apache/spark/pull/12504]

> Add conversions between mllib and ml Vector, Matrix types
> ---------------------------------------------------------
>
>                 Key: SPARK-14734
>                 URL: https://issues.apache.org/jira/browse/SPARK-14734
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>             Fix For: 2.0.0
>
>
> For maintaining wrappers around spark.mllib algorithms in spark.ml, it will be useful to have {{private[spark]}} methods for converting from one linear algebra representation to another.  I am running into this issue in [SPARK-14732].



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org