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 2015/08/30 08:36:45 UTC

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

Xiangrui Meng created SPARK-10354:
-------------------------------------

             Summary: 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.



--
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