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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:21:20 UTC
[jira] [Updated] (SPARK-8986) GaussianMixture should take smoothing
param
[ https://issues.apache.org/jira/browse/SPARK-8986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-8986:
--------------------------------
Labels: bulk-closed (was: )
> GaussianMixture should take smoothing param
> -------------------------------------------
>
> Key: SPARK-8986
> URL: https://issues.apache.org/jira/browse/SPARK-8986
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Major
> Labels: bulk-closed
> Original Estimate: 144h
> Remaining Estimate: 144h
>
> Gaussian mixture models should take a smoothing parameter which makes the algorithm robust against degenerate data or bad initializations.
> Whomever takes this JIRA should look at other libraries (sklearn, R packages, Weka, etc.) to see how they do smoothing and what their API looks like. Please summarize your findings here.
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