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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/05/14 06:28:59 UTC

[jira] [Resolved] (SPARK-7612) Use BLAS in naive Bayes training

     [ https://issues.apache.org/jira/browse/SPARK-7612?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-7612.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 6128
[https://github.com/apache/spark/pull/6128]

> Use BLAS in naive Bayes training
> --------------------------------
>
>                 Key: SPARK-7612
>                 URL: https://issues.apache.org/jira/browse/SPARK-7612
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.4.0
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>            Priority: Minor
>             Fix For: 1.4.0
>
>
> Similar to the changes we made to k-means, replacing the implementation by MLlib's BLAS wrappers gives us better control on the performance.



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