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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] [Assigned] (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:all-tabpanel ]
Apache Spark reassigned SPARK-10354:
------------------------------------
Assignee: Xiangrui Meng (was: Apache Spark)
> 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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