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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2020/03/12 03:23:00 UTC
[jira] [Assigned] (SPARK-31032) GMM compute summary and update
distributions in one pass
[ https://issues.apache.org/jira/browse/SPARK-31032?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng reassigned SPARK-31032:
------------------------------------
Assignee: zhengruifeng
> GMM compute summary and update distributions in one pass
> --------------------------------------------------------
>
> Key: SPARK-31032
> URL: https://issues.apache.org/jira/browse/SPARK-31032
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.1.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
>
> In current impl, GMM need to trigger two jobs at one iteration:
> 1, one to compute summary;
> {color:#172b4d}2, if {{{color}{color:#c7a65d}{color:#172b4d}shouldDistributeGaussians}} {color}{color}((k - {color:#4dacf0}1.0{color}) / k) * numFeatures > {color:#4dacf0}25.0,{color}
> {color:#c7a65d}{color:#172b4d}trigger another to update distributions;{color}
> {color}
>
> {color:#c7a65d}{color:#172b4d}shouldDistributeGaussians is almost true in practice, since numFeatures is likely to be greater than 25.{color}{color}
>
> {color:#c7a65d}{color:#172b4d}We can use only one job to impl above computation,{color}{color}
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