You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Meethu Mathew (JIRA)" <ji...@apache.org> on 2014/12/31 06:18:13 UTC
[jira] [Commented] (SPARK-5015) GaussianMixtureEM should take
random seed parameter
[ https://issues.apache.org/jira/browse/SPARK-5015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261936#comment-14261936 ]
Meethu Mathew commented on SPARK-5015:
--------------------------------------
Instead of using random seed , using the cluster centers returned by kmeans++ for initializing the means in GMM would be good strategy as implemented in scikit-learn http://scikit-learn.org/stable/modules/mixture.html#mixture. What is your opinion ?
> GaussianMixtureEM should take random seed parameter
> ---------------------------------------------------
>
> Key: SPARK-5015
> URL: https://issues.apache.org/jira/browse/SPARK-5015
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> GaussianMixtureEM uses randomness but does not take a random seed. It should take one as a parameter.
--
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