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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/08/12 08:51:20 UTC
[jira] [Commented] (SPARK-17033) GaussianMixture should use
treeAggregate to improve performance
[ https://issues.apache.org/jira/browse/SPARK-17033?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15418537#comment-15418537 ]
Apache Spark commented on SPARK-17033:
--------------------------------------
User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/14621
> GaussianMixture should use treeAggregate to improve performance
> ---------------------------------------------------------------
>
> Key: SPARK-17033
> URL: https://issues.apache.org/jira/browse/SPARK-17033
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Yanbo Liang
> Priority: Minor
>
> {{GaussianMixture}} should use {{treeAggregate}} rather than {{aggregate}} to improve performance and scalability. In my test of dataset with 200 features and 1M instance, I found there is 20% increased performance.
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