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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:33:42 UTC
[jira] [Resolved] (SPARK-7653) ML Pipeline and meta-algs should
take random seed param
[ https://issues.apache.org/jira/browse/SPARK-7653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-7653.
---------------------------------
Resolution: Incomplete
> ML Pipeline and meta-algs should take random seed param
> -------------------------------------------------------
>
> Key: SPARK-7653
> URL: https://issues.apache.org/jira/browse/SPARK-7653
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Major
> Labels: bulk-closed
>
> ML Pipelines and other meta-algorithms should implement HasSeed. If the seed is set, then the meta-alg will use that seed to generate new seeds to pass to every component PipelineStage.
> * Note: This may require a little discussion about whether HasSeed should be a public API.
> This will make it easier for users to have reproducible results for entire pipelines (rather than setting the seed for each stage manually).
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