You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/03/11 18:50:38 UTC

[jira] [Updated] (SPARK-5186) Vector.equals and Vector.hashCode are very inefficient and fail on SparseVectors with large size

     [ https://issues.apache.org/jira/browse/SPARK-5186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-5186:
---------------------------------
     Target Version/s: 1.1.2, 1.2.2
    Affects Version/s: 1.1.1
                       1.2.1

> Vector.equals  and Vector.hashCode are very inefficient and fail on SparseVectors with large size
> -------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-5186
>                 URL: https://issues.apache.org/jira/browse/SPARK-5186
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.1.1, 1.2.0, 1.2.1
>            Reporter: Derrick Burns
>            Assignee: yuhao yang
>             Fix For: 1.3.0
>
>   Original Estimate: 0.25h
>  Remaining Estimate: 0.25h
>
> The implementation of Vector.equals and Vector.hashCode are correct but slow for SparseVectors that are truly sparse.



--
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