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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/31 08:22:45 UTC

[jira] [Commented] (SPARK-10354) First cost RDD shouldn't be cached in k-means|| and the following cost RDD should use MEMORY_AND_DISK

    [ https://issues.apache.org/jira/browse/SPARK-10354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14723031#comment-14723031 ] 

Apache Spark commented on SPARK-10354:
--------------------------------------

User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/8526

> First cost RDD shouldn't be cached in k-means|| and the following cost RDD should use MEMORY_AND_DISK
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10354
>                 URL: https://issues.apache.org/jira/browse/SPARK-10354
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.5.0
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>            Priority: Minor
>
> The first RDD doesn't need to be cached, other cost RDDs should use MEMORY_AND_DISK to avoid recomputing.



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